GCC2021 Science Training Track
Welcome! GCC2021 training week has ended, but you can still work through the materials on your own!
Welcome everybody, and thank you for joining the GCC training week!
Everything you need for this course can be found on this webpage. More information including links to all training materials can be found by clicking on each session. Please adhere to our Code of Conduct, and have fun!
Schedule
For this training week there is no fixed schedule, instead we provide a set of modules for you to choose from.
- This week YOU make the schedule, YOU decide which tutorials to follow, and when to start, stop, and take breaks.
- You do NOT have to complete everything! In fact, this would be impossible! (there are 4 full days of video on this page). You can do as many or as few sessions as you want, and focus on the topics most interesting to you! Everything will stay online forever, so you can always come back after GCC and continue learning!
- New to Galaxy? We suggest you start with the “Introduction to Galaxy” module, followed by the “Introduction to NGS Analysis” module.
- Unsure which tutorial to follow? Feel free to ask us for recommendations in Slack!
Training Modules
Scroll down to see all available tutorials, or jump directly to a module:- Welcome & Practical Information
- Introduction to Galaxy
- Introduction to NGS Analysis
- Advanced NGS Analysis
- Transcriptomics
- Proteomics
- Microbial Analysis using Galaxy
- Machine Learning
- SARS-CoV-2 analysis
- Plant data analysis
- Visualisation in Galaxy
- Galaxy for Non-Genomics
- After the Course
Welcome & Practical Information
Start here. This will cover all the logistics and practical information for this training week.
Lecture
Video Length: 15m
Subtitles By: Saskia Hiltemann, Helena Rasche
Description: Start here; we will go over all the important things to know to get the most out of this workshop
Training Material: Slides
Subtitles By: Saskia Hiltemann, Helena Rasche
Description: Start here; we will go over all the important things to know to get the most out of this workshop
Training Material: Slides
Speaker
Supporting Materials
- Slides: Welcome & Course Information
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #event-gcc2021 - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #event-gcc2021 ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Register for a Galaxy Account
Create an account on one of the following Galaxy servers:
Sign up for TIaaS
Training Infrastructure as a Service (TIaaS) helps Galaxy workshops run smoothly.
The procedure for this is different depending on the server you are on:
Join Slack Chat!
Slack is where you can ask all your questions
Certificates of attendance can be requested after the training week.
Requirements
- Have a registration for the GCC2021 Training Week
- Keep all your Galaxy histories
- We will ask you to provide links to the histories for all sessions you followed
- If a tutorial does not create a Galaxy history (e.g. developer training), keep any other outputs you may create during the training session
- Answer the dailiy icebreakers question on Slack every day
- Be active on Slack!
- Join the Slack channels for every training session you follow this week (links under "supporting materials" at the bottom of each session)
- Let us know when you are starting with a session in the session's dedicated Slack channel
- Talk about the session! Get stuck? Have a question about the science? want to discuss anything? do it in Slack!
- Whenever you finish a session, let us know on Slack that you have completed the tutorial, and let us know what you thought of it!
NOTE: You can follow as few or as many training sessions as you want, we will give you a personalized certificate listing all the sessions you attended.
Request now!
Please fill in this this Certificate Request Form
Deadline: no later than July 11, 2021.
Note: only fill in this form when you have completed all the training session you want to.
Tutorial
Video Length: 5m
Subtitles By: Saskia Hiltemann
Description: This short video gives an overview of the worldwide Galaxy community, and different ways you can get involved! Video created by Beatriz Serrano-Solano.
Training Material: GalaxyProject Home, Galaxy servers, Galaxy Training Network, Support, Galaxy Publications, Galaxy Communities, Events, Mailing Lists, Galaxy Working Groups, GitHub, Gitter Chat, GTN Gitter, PaperCuts, GTN CoFest, Twitter, Twitter
Subtitles By: Saskia Hiltemann
Description: This short video gives an overview of the worldwide Galaxy community, and different ways you can get involved! Video created by Beatriz Serrano-Solano.
Training Material: GalaxyProject Home, Galaxy servers, Galaxy Training Network, Support, Galaxy Publications, Galaxy Communities, Events, Mailing Lists, Galaxy Working Groups, GitHub, Gitter Chat, GTN Gitter, PaperCuts, GTN CoFest, Twitter, Twitter
Supporting Materials
- GalaxyProject Home: galaxyproject.org
- Galaxy servers: Find a Galaxy server near you!
- Galaxy Training Network: Start learning Galaxy
- Support: Galaxy Help Forum
- Galaxy Publications: Zotero
- Galaxy Communities: Find and Join a community
- Events: Galaxy Event Horizon
- Mailing Lists: Stay informed of Galaxy activity!
- Galaxy Working Groups: Find and join a WG
- GitHub: galaxyproject
- Gitter Chat: Start talking with the Galaxy Community!
- GTN Gitter: Join the training discussion here!
- PaperCuts: Monthly Collaboration Fest
- GTN CoFest: Everybody Welcome!
- Twitter: follow @galaxyproject
- Twitter: follow the GTN @gxytraining
- Slack channel: - Have question about the training? Did you run into a problem? Just wanna chat?
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: . Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
At the beginning of each day, say hi in Slack and let us know are getting started by answering the following icebreaker questions!
Monday Icebreaker Question
Let us know where you are from, and one fun fact about yourself!
Post your answers in #social on Slack!
Tuesday Icebreaker Question
What is the coolest, most mind blowing fact (nature/people/animal etc.) you know?
Post your answers in #social on Slack!
Wednesday Icebreaker Question
What is your favorite dish (food or drink)? Bonus points for recipes!
Post your answers in #social on Slack!
Thursday Icebreaker Question
1. If you had a time machine, what is the first place & time you would visit? why?
OR
2. What is your favourite book, tv show, movie or game that you would recommend to others?
Post your answers in #social on Slack!
Friday Icebreaker Question
What has been you favourite part of this training week? And what are you looking forward to most during the rest of GCC (if you are attending)?
Post your answers in #social on Slack!
And of course please feel free to respond to anybody here, this channel is for socializing and getting to know each other :)
Note: Please do this every day if you would like to receive a certificate of attendance
Introduction to Galaxy
Start here if you are new to Galaxy. These videos will introduce you to the Galaxy platform, and walk you through your first analyses
Lecture/Demo
Video Length: 10m
Subtitles By: Anton Nekrutenko
Description: This video will introduce the Galaxy data analysis platform, and give a short demo on how to use it.
Training Material: Related Slides
Subtitles By: Anton Nekrutenko
Description: This video will introduce the Galaxy data analysis platform, and give a short demo on how to use it.
Training Material: Related Slides
Speaker
Supporting Materials
- Related Slides: A Slightly Longer Introduction to Galaxy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #galaxy_first_analysis - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #galaxy_first_analysis ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Overview Presentation
- Tutorial1: Introduction to Genomics and Galaxy
- Tutorial2: Extracting Workflows from Histories
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #galaxy_first_analysis - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #galaxy_first_analysis ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 1h15m
Subtitles By: Anne Fouilloux, Raf Winand
Description: This video tutorial will provide a non-genomics based first look at the Galaxy platform, how to use it, and discusses how you can get support for your data analysis.
Training Material: Tutorial
Subtitles By: Anne Fouilloux, Raf Winand
Description: This video tutorial will provide a non-genomics based first look at the Galaxy platform, how to use it, and discusses how you can get support for your data analysis.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Galaxy Intro for Everyone (non-genomics)
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #galaxy_intro_101-for-everyone - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #galaxy_intro_101-for-everyone ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Webinar Series: Galaxy Resources For..
Each of the 4 webinars in this series that ran earlier this year highlights avaialble Galaxy resources for a different audience. These videos are a nice way to get an overview of what Galaxy has to offer for different types of users...Researchers
Video Length: 1h10m
Subtitles By: We apologize for lack of captions on this video. If you are reliant on captions, please check back here soon.
Description: Wondering how to get started, or how to do a particular type of analysis, or how to scale to thousands of datasets? This webinar will highlight how to find the resources and help you need for each of these questions and more.
Training Material: Galaxy Webinar Page
Subtitles By: We apologize for lack of captions on this video. If you are reliant on captions, please check back here soon.
Description: Wondering how to get started, or how to do a particular type of analysis, or how to scale to thousands of datasets? This webinar will highlight how to find the resources and help you need for each of these questions and more.
Training Material: Galaxy Webinar Page
Speaker
..Educators and Trainers
Video Length: 1h10m
Subtitles By: Saskia Hiltemann
Description: Galaxy is an exceptional resource for teaching bioinformatics and other data sciences. The Galaxy Platform itself makes sophisticated analysis tools and workflows accessible to learners without requiring them to become system administrators or learn command line interfaces. Galaxy is a graphical user interface that only requires a browser, and allows students and teachers to focus on concepts, rather than compute infrastructure.
Training Material: Galaxy Webinar Page
Subtitles By: Saskia Hiltemann
Description: Galaxy is an exceptional resource for teaching bioinformatics and other data sciences. The Galaxy Platform itself makes sophisticated analysis tools and workflows accessible to learners without requiring them to become system administrators or learn command line interfaces. Galaxy is a graphical user interface that only requires a browser, and allows students and teachers to focus on concepts, rather than compute infrastructure.
Training Material: Galaxy Webinar Page
Speaker
..Tool Developers
Video Length:
Subtitles By: We apologize for lack of captions on this video. If you are reliant on captions, please check back here soon.
Description: Galaxy is an excellent platform for increasing the visibility and use of computational tools in any domain that Galaxy has been applied to. If you develop computational analysis or visualization tools then this webinar will demonstrate how porting your tools to Galaxy can significantly increase their visibility and adoption.
Training Material: Galaxy Webinar Page
Subtitles By: We apologize for lack of captions on this video. If you are reliant on captions, please check back here soon.
Description: Galaxy is an excellent platform for increasing the visibility and use of computational tools in any domain that Galaxy has been applied to. If you develop computational analysis or visualization tools then this webinar will demonstrate how porting your tools to Galaxy can significantly increase their visibility and adoption.
Training Material: Galaxy Webinar Page
Speaker
..Administrators & Infrastructure Providers
Video Length:
Subtitles By: We apologize for lack of captions on this video. If you are reliant on captions, please check back here soon.
Description: Galaxy can empower your community to create and run their own sophisticated and repeatable data analyses and visualizations, without requiring them to learn command line interfaces or Linux systems administration. If you are interested in helping your researchers help themselves with their data analyses, then this webinar is for you. We will cover resources available in the Galaxy ecosystem to help those who setup and maintain production Galaxy servers.
Training Material: Galaxy Webinar Page
Subtitles By: We apologize for lack of captions on this video. If you are reliant on captions, please check back here soon.
Description: Galaxy can empower your community to create and run their own sophisticated and repeatable data analyses and visualizations, without requiring them to learn command line interfaces or Linux systems administration. If you are interested in helping your researchers help themselves with their data analyses, then this webinar is for you. We will cover resources available in the Galaxy ecosystem to help those who setup and maintain production Galaxy servers.
Training Material: Galaxy Webinar Page
Speaker
Supporting Materials
- Galaxy Webinar Page: View past & upcoming webinars
- Slack channel: #event-gcc2021 - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #event-gcc2021 ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Advanced Galaxy Features
These tutorials cover some more advanced Galaxy features
Hands-on Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Uploading data with the Rule Based Uploader
- Tutorial: Uploading data with the Rule Based Uploader
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #galaxy-rule-builder - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #galaxy-rule-builder ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Hands-on Tutorial
Video Length: 30m
Subtitles By: Simon Bray
Description: This is a more technical tutorial which will teach you how to run workflows from the command line and scale your analyses. If you are on Windows, you will need WSL/WSL2 setup before this session.
Training Material: Get Set Up (Windows), Tutorial
Subtitles By: Simon Bray
Description: This is a more technical tutorial which will teach you how to run workflows from the command line and scale your analyses. If you are on Windows, you will need WSL/WSL2 setup before this session.
Training Material: Get Set Up (Windows), Tutorial
Speaker
Supported Servers
Supporting Materials
- Get Set Up (Windows): Installing WSL on Windows
- Tutorial: Running Workflows from the Command Line using Planemo
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #galaxy-workflow-automation - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #galaxy-workflow-automation ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Introduction to NGS Analysis
This module will introduce the basics of NGS analysis, from cleaning your data to mapping and assembly
Demo
Video Length: 15m
Subtitles By: Anton Nekrutenko
Description: In this demo video, we will show how to perform an NGS data analysis, using a SARS-CoV-2 example dataset. If you would like to run the full tutorial yourself, please find the link below (duration 1h-1.5h).
Training Material: Tutorial
Subtitles By: Anton Nekrutenko
Description: In this demo video, we will show how to perform an NGS data analysis, using a SARS-CoV-2 example dataset. If you would like to run the full tutorial yourself, please find the link below (duration 1h-1.5h).
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: NGS data logistics
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_data-logistics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_data-logistics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
This session covers the basics about how to assess and improve the quality of your sequencing data.Lecture
Speaker
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Introduction to Quality Control
- Tutorial: Quality Control
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_quality-control - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_quality-control ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
Mapping sequencing reads to a reference genome is often the next step after QC. This session covers the basic concepts of mapping and the practical will guide you through performing a mapping step on sequending data.Lecture
Speaker
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Mapping
- Tutorial: Mapping
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_mapping - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_mapping ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
When there is no reference genome available for your organism, you will have to assemble the short reads into larger segments (contigs).Lecture
Speaker
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: An Introduction to Genome Assembly
- Tutorial: Chloroplast genome assembly
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_assembly - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_assembly ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Advanced NGS Analysis
Hands-on Tutorial
Video Length: 25m
Subtitles By: Mehmet Tekman
Description: This tutorial guides you through the preprocessing of sequencing data of bronchoalveolar lavage fluid (BALF) samples obtained from early COVID-19 patients in China. Since such samples are expected to be contaminated signficantly with human sequenced reads, the goal is to enrich the data for SARS-CoV-2 reads by identifying and discarding reads of human origin before trying to assemble the viral genome sequence.
Training Material: Slides, Tutorial
Subtitles By: Mehmet Tekman
Description: This tutorial guides you through the preprocessing of sequencing data of bronchoalveolar lavage fluid (BALF) samples obtained from early COVID-19 patients in China. Since such samples are expected to be contaminated signficantly with human sequenced reads, the goal is to enrich the data for SARS-CoV-2 reads by identifying and discarding reads of human origin before trying to assemble the viral genome sequence.
Training Material: Slides, Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Assembly: Unicycler assembly of SARS-CoV-2 genome
- Tutorial: Assembly: Unicycler assembly of SARS-CoV-2 genome
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_advanced_unicycler-assembly-sars-cov2-genome - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_advanced_unicycler-assembly-sars-cov2-genome ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.Lecture
Video Length: 3m
Subtitles By: Anthony Bretaudeau
Description: Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.
Training Material: Slides, Tutorial
Subtitles By: Anthony Bretaudeau
Description: Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.
Training Material: Slides, Tutorial
Tutorial
Video Length: 20m
Subtitles By: Anthony Bretaudeau
Description: In this tutorial we will use Prokka to annotate a draft genome sequence. Prokka finds and annotates features (both protein coding regions and RNA genes, i.e. tRNA, rRNA) present on on a sequence. Prokka can be used to annotate bacterial, archaeal and viral genomes quickly, generating standard output files in GenBank, EMBL and gff formats.”
Training Material: Slides, Tutorial
Subtitles By: Anthony Bretaudeau
Description: In this tutorial we will use Prokka to annotate a draft genome sequence. Prokka finds and annotates features (both protein coding regions and RNA genes, i.e. tRNA, rRNA) present on on a sequence. Prokka can be used to annotate bacterial, archaeal and viral genomes quickly, generating standard output files in GenBank, EMBL and gff formats.”
Training Material: Slides, Tutorial
Speaker
Supporting Materials
- Slides: Genome Annotation: Annotation of a prokaryotic genome
- Tutorial: Genome Annotation: Annotation of a prokaryotic genome
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_advanced_annotation-prokaryotic-genome - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_advanced_annotation-prokaryotic-genome ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
After automatically annotating your genome using Prokka or Maker, it is important to visualize your results so you can understand what your organism looks like, and then to manually refine these annotations along with any additional data you might have. This process is most often done as part of a group, smaller organisms may be annotated individually though.Apollo (Dunn et al. 2019) provides a platform to do this. It is a web-based, collaborative genome annotation editor. Think of it as “Google Docs” for genome annotation, multiple users can work together simultaneously to curate evidences and annotate a genome.
This tutorial is inspired by the Apollo User’s Guide, which provides additional guidance.
Lecture
Video Length: 5m
Subtitles By: Anthony Bretaudeau
Description: This lecture gives a quick overview of Apollo
Training Material: Slides, Tutorial, Apollo User's Guide
Subtitles By: Anthony Bretaudeau
Description: This lecture gives a quick overview of Apollo
Training Material: Slides, Tutorial, Apollo User's Guide
Tutorial
Video Length: 1h
Subtitles By: Anthony Bretaudeau
Description: In this tutorial you will get some hands-on experience using Apollo in Galaxy
Training Material: Slides, Tutorial, Apollo User's Guide
Subtitles By: Anthony Bretaudeau
Description: In this tutorial you will get some hands-on experience using Apollo in Galaxy
Training Material: Slides, Tutorial, Apollo User's Guide
Speaker
Supported Servers
Supporting Materials
- Slides: Genome Annotation: Refining Genome Annotations with Apollo
- Tutorial: Genome Annotation: Refining Genome Annotations with Apollo
- Apollo User's Guide: Genome Annotation: Refining Genome Annotations with Apollo
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #genome_annotation_apollo - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #genome_annotation_apollo ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
In many eukaryotic organisms, such as humans, the genome is tightly packed and organized with the help of nucleosomes (chromatin). A nucleosome is a complex formed by eight histone proteins that is wrapped with ~147bp of DNA. When the DNA is being actively transcribed into RNA, the DNA will be opened and loosened from the nucleosome complex. Many factors, such as the chromatin structure, the position of the nucleosomes, and histone modifications, play an important role in the organization and accessibility of the DNA. Consequently, these factors are also important for the activation and inactivation of genes. Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq) is a method to investigate the accessibility of chromatin and thus a method to determine regulatory mechanisms of gene expression. The method can help identify promoter regions and potential enhancers and silencers.Lecture
Speaker
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Epigenetics - ATAC-Seq data analysis
- Tutorial: ATAC-Seq data analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_advanced_epigenetics_atac-seq - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_advanced_epigenetics_atac-seq ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Lecture & Hands-on Tutorial
Traditionally, after a list of run accessions has been filtered on the NCBI website, the accessions are used to download and extract fastq using the SRA toolkit to enter into the next steps of the workflow. A newer compressed data type generated from raw submission data for sequences containing hits to SARS-CoV-2 is also accessible to Galaxy users from SRA in the Cloud.
SRA Aligned Read Format (SARFs) provides further output options other than basic FASTQ format, for example:
- contigs created from the raw reads in the run (FASTA format)
- reads aligned back to the contigs (SAM format)
- VCF files generated for each record relative to the SARS-CoV-2 RefSeq record.
Lecture
Video Length: 15m
Subtitles By: Jonathan Trow
Description: This lecture will introduce the SRA Aligned Read format available in the cloud from SRA, as well as some accompanying metadata that can help you search and filter the data. This sessions is aimed specifically at SARS-CoV-2 runs in SRA.
Training Material: Slides, Tutorial, Related Tutorial
Subtitles By: Jonathan Trow
Description: This lecture will introduce the SRA Aligned Read format available in the cloud from SRA, as well as some accompanying metadata that can help you search and filter the data. This sessions is aimed specifically at SARS-CoV-2 runs in SRA.
Training Material: Slides, Tutorial, Related Tutorial
Speaker
Tutorial
Video Length: 40m
Subtitles By: Jonathan Trow
Description: This tutorials will walk you through accessing and using SRA Aligned read format in Galaxy.
Training Material: Slides, Tutorial, Related Tutorial
Subtitles By: Jonathan Trow
Description: This tutorials will walk you through accessing and using SRA Aligned read format in Galaxy.
Training Material: Slides, Tutorial, Related Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Introduction to SRA Aligned Read Format and Cloud Metadata for SARS-CoV-2
- Tutorial: SRA Aligned Read Formats to Speed Up SARS-CoV-2 data Analysis
- Related Tutorial: From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_advanced_sra-aligned-read-format - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_advanced_sra-aligned-read-format ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Transcriptomics
The following module cover transcriptomic analysis in Galaxy, from bulk RNA-seq to Single-cell RNA-Seq, from Quality control to Visualisation
Introduction to RNA-Seq
Lecture
Video Length: 30m
Subtitles By: Nadia Goué, Saskia Hiltemann
Description: RNA sequencing is used to assess the expression levels of genes. This video introduces the important concepts related to RNA-seq analysis.
Training Material: Slides
Subtitles By: Nadia Goué, Saskia Hiltemann
Description: RNA sequencing is used to assess the expression levels of genes. This video introduces the important concepts related to RNA-seq analysis.
Training Material: Slides
Speaker
Supporting Materials
- Slides: Introduction to Transcriptomics
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_ref-based-rna-seq - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_ref-based-rna-seq ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 2h30m
Subtitles By: Helena Rasche, Saskia Hiltemann
Description: In this tutorial we will walk you through the process of an RNA-seq analysis, comparing gene expression levels between different conditions and assessing impacted gene pathways.
Training Material: Tutorial
Subtitles By: Helena Rasche, Saskia Hiltemann
Description: In this tutorial we will walk you through the process of an RNA-seq analysis, comparing gene expression levels between different conditions and assessing impacted gene pathways.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Reference-based RNA-Seq data analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_ref-based-rna-seq - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_ref-based-rna-seq ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 48m
Subtitles By: Mallory Freeberg
Description: In this tutorial, we will use de novo transcript reconstruction to infer transcript structures from aligned reads. We will identify and quantify transcripts present in two different cell state and determine which transcripts are differentially expressed between the two states.
Training Material: Tutorial, Publication, Training data, Related Slides, Related Slides, Related Slides
Subtitles By: Mallory Freeberg
Description: In this tutorial, we will use de novo transcript reconstruction to infer transcript structures from aligned reads. We will identify and quantify transcripts present in two different cell state and determine which transcripts are differentially expressed between the two states.
Training Material: Tutorial, Publication, Training data, Related Slides, Related Slides, Related Slides
Speaker
Supported Servers
Supporting Materials
- Tutorial: De novo transcriptome reconstruction with RNA-Seq
- Publication: Dynamic shifts in occupancy by TAL1 are guided by GATA factors and drive large-scale reprogramming of gene expression during hematopoiesis.
- Training data: Zenodo
- Related Slides: Introduction to Transcriptomics
- Related Slides: Intro to Quality Control
- Related Slides: Intro to Mapping
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_de-novo-transcriptome-reconstruction - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_de-novo-transcriptome-reconstruction ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.Lecture
Video Length: 10m
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Tutorial
Video Length: 1h10m
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Whole transcriptome analysis of Arabidopsis thaliana
- Tutorial: Whole transcriptome analysis of Arabidopsis thaliana
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_mirna-data-analysis - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_mirna-data-analysis ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:RNA-Seq analysis using Rstudio in Galaxy
Demo
Video Length: 20m
Subtitles By: Saskia Hiltemann
Description: This tutorial will show you how you can start Rstudio from within Galaxy. This option is only available on Galaxy EU for the time being. If you are working on a different Galaxy server, you can use Rstudio Cloud (https://rstudio.cloud/)
Training Material: Rstudio in Galaxy not available?
Subtitles By: Saskia Hiltemann
Description: This tutorial will show you how you can start Rstudio from within Galaxy. This option is only available on Galaxy EU for the time being. If you are working on a different Galaxy server, you can use Rstudio Cloud (https://rstudio.cloud/)
Training Material: Rstudio in Galaxy not available?
Speaker
Supporting Materials
- Rstudio in Galaxy not available?: Try Rstudio Cloud instead
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_intro-to-r - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_intro-to-r ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 50m
Subtitles By: Sébastien Fouilloux, Anne Fouilloux, Kaivan Kamali
Description: This tutorial will provide an introduction to using R with Rstudio in Galaxy.
Training Material: Tutorial
Subtitles By: Sébastien Fouilloux, Anne Fouilloux, Kaivan Kamali
Description: This tutorial will provide an introduction to using R with Rstudio in Galaxy.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: R basics in Galaxy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_intro-to-r - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_intro-to-r ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 1h
Subtitles By: Keith Suderman, Nadia Goué
Description: An advanced tutorial covering downstream analysis of RNA-seq data using R.
Training Material: Tutorial
Subtitles By: Keith Suderman, Nadia Goué
Description: An advanced tutorial covering downstream analysis of RNA-seq data using R.
Training Material: Tutorial
Speaker
Supporting Materials
- Tutorial: Advanced R in Galaxy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_advanced_r - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_advanced_r ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 30m
Subtitles By: Helena Rasche, Saskia Hiltemann, Fotis E. Psomopoulos
Description: In this tutorial, we will visualize our RNA-seq analysis results using R.
Training Material: Tutorial
Subtitles By: Helena Rasche, Saskia Hiltemann, Fotis E. Psomopoulos
Description: In this tutorial, we will visualize our RNA-seq analysis results using R.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: RNA Seq Counts to Viz in R
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_visualisation-with-r - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_visualisation-with-r ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Duo of Hands-on Tutorials
Volcano plots are commonly used to display the results of RNA-seq or other omics experiments. A volcano plot is a type of scatterplot that shows statistical significance (P value) versus magnitude of change (fold change). It enables quick visual identification of genes with large fold changes that are also statistically significant. These tutorials will first teach you how to create such plots from your RNA-Seq results in Galaxy, and then how you can further customized the plots using R directly within Galaxy.Creating Volcano Plots in Galaxy
Video Length: 10m
Subtitles By: Maria Doyle
Description: This tutorial will show you how you can create volcano plots from your RNA-Seq analysis results using Galaxy tools.
Training Material: Tutorial 1, Tutorial 2
Subtitles By: Maria Doyle
Description: This tutorial will show you how you can create volcano plots from your RNA-Seq analysis results using Galaxy tools.
Training Material: Tutorial 1, Tutorial 2
Speaker
Customizing your Volcano Plots with R
Video Length: 15m
Subtitles By: Maria Doyle
Description: The previous tutorial introduced volcano plots and showed how they can be generated with the Galaxy Volcano plot tool. In this tutorial we show how you can customise a plot using the R script output from the tool.
Training Material: Tutorial 1, Tutorial 2
Subtitles By: Maria Doyle
Description: The previous tutorial introduced volcano plots and showed how they can be generated with the Galaxy Volcano plot tool. In this tutorial we show how you can customise a plot using the R script output from the tool.
Training Material: Tutorial 1, Tutorial 2
Speaker
Supporting Materials
- Tutorial 1: Visualization of RNA-Seq results with Volcano Plot
- Tutorial 2: Customizing your Volcano plots using R in Galaxy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_volcano-plot - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_volcano-plot ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Single-cell RNA-Seq Analysis
Why smash tissues up to analyse them, when you can find what’s inside each individual cell? In these scRNA-seq tutorials, you’ll move from FASTQ to trajectory using the same dataset throughout – a case study of previously published, real mouse data. And for the plant enthusiasts, you’ll do the same thing in Arabidopsis! Enjoy life at a single cell scale!
Lecture
Video Length: 20m
Subtitles By: Mehmet Tekman
Description: Single-cell RNA-seq analysis is a rapidly evolving field at the forefront of transcriptomic research, used in high-throughput developmental studies and rare transcript studies to examine cell heterogeneity within a populations of cells. The cellular resolution and genome wide scope make it possible to draw new conclusions that are not otherwise possible with bulk RNA-seq. Slides created by Mehmet Tekman.
Training Material: Slides
Subtitles By: Mehmet Tekman
Description: Single-cell RNA-seq analysis is a rapidly evolving field at the forefront of transcriptomic research, used in high-throughput developmental studies and rare transcript studies to examine cell heterogeneity within a populations of cells. The cellular resolution and genome wide scope make it possible to draw new conclusions that are not otherwise possible with bulk RNA-seq. Slides created by Mehmet Tekman.
Training Material: Slides
Supporting Materials
- Slides: An introduction to scRNA-Seq data analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_single-cell-rnaseq - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_single-cell-rnaseq ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Self-Study with Video Walkthrough
Video Length: 30m
Subtitles By: Wendi Bacon
Description: This tutorial will take you from raw FASTQ files to a cell x gene data matrix in AnnData format. What’s a data matrix, and what’s AnnData format? Well you’ll find out! Importantly, this is the first step in processing single cell data in order to start analysing it.
Training Material: Tutorial
Subtitles By: Wendi Bacon
Description: This tutorial will take you from raw FASTQ files to a cell x gene data matrix in AnnData format. What’s a data matrix, and what’s AnnData format? Well you’ll find out! Importantly, this is the first step in processing single cell data in order to start analysing it.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Generating a single cell matrix using Alevin
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_single-cell-matrix-alevin - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_single-cell-matrix-alevin ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Self-study with Video Walkthrough
Video Length: 30m
Subtitles By: Wendi Bacon
Description: You’ve done all the work to make a single cell matrix, with gene counts and mitochondrial counts and buckets of cell metadata from all your variables of interest, now it’s time to fully process our data, to remove low quality cells, to reduce the many dimensions of data that make it difficult to work with, and ultimately to try to define our clusters and to find our biological meaning and insights!
Training Material: Tutorial
Subtitles By: Wendi Bacon
Description: You’ve done all the work to make a single cell matrix, with gene counts and mitochondrial counts and buckets of cell metadata from all your variables of interest, now it’s time to fully process our data, to remove low quality cells, to reduce the many dimensions of data that make it difficult to work with, and ultimately to try to define our clusters and to find our biological meaning and insights!
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Filter, Plot and Explore Single-cell RNA-seq Data
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_single-cell-filter-plot-explore - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_single-cell-filter-plot-explore ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Self-study with Video Walkthrough
Video Length: 10m
Subtitles By: Wendi Bacon
Description: You’ve done all the hard work of preparing a single cell matrix, processing it, plotting it, interpreting it, finding lots of lovely genes, all within the glorious Galaxy interface. Now you want to infer trajectories, or relationships between cells… and you’ve been threatened with learning Python to do so! Well, fear not. If you can have a run-through of a basic python coding introduction, then that will help you make more sense of this tutorial, however you’ll be able to make and interpret glorious plots even without understanding the Python coding language. This is the beauty of Galaxy - all the ‘set-up’ is identical across computers, because it’s browser based. So fear not!
Training Material: Tutorial
Subtitles By: Wendi Bacon
Description: You’ve done all the hard work of preparing a single cell matrix, processing it, plotting it, interpreting it, finding lots of lovely genes, all within the glorious Galaxy interface. Now you want to infer trajectories, or relationships between cells… and you’ve been threatened with learning Python to do so! Well, fear not. If you can have a run-through of a basic python coding introduction, then that will help you make more sense of this tutorial, however you’ll be able to make and interpret glorious plots even without understanding the Python coding language. This is the beauty of Galaxy - all the ‘set-up’ is identical across computers, because it’s browser based. So fear not!
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Trajectory Analysis using Python (Jupyter Notebook) in Galaxy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_single_cell_trajectory-analysis-jupyter - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_single_cell_trajectory-analysis-jupyter ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 55m
Subtitles By: Mehmet Tekman
Description: This tutorial replicates the paper “Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing” (Denyer et al. 2019), where the major plant cell types are recovered in the data as well as distinguishing between QC and meristematic cells. The original paper used the Seurat analysis suite (Satija et al. 2015), but here we will use the ScanPy analysis suite (Wolf et al. 2018) integrated within the single-cell resources in Galaxy (Tekman et al. 2020).
Training Material: Tutorial
Subtitles By: Mehmet Tekman
Description: This tutorial replicates the paper “Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing” (Denyer et al. 2019), where the major plant cell types are recovered in the data as well as distinguishing between QC and meristematic cells. The original paper used the Seurat analysis suite (Satija et al. 2015), but here we will use the ScanPy analysis suite (Wolf et al. 2018) integrated within the single-cell resources in Galaxy (Tekman et al. 2020).
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Analysis of plant scRNA-Seq Data with Scanpy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: - Have question about the training? Did you run into a problem? Just wanna chat?
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: . Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Proteomics
In this module we explore the world of proteomics! Today we have a mixture of lectures, hands-on tutorials, and workflow demonstrations. The FAQ document provides links to example histories if you would like to explore the outputs of the demos yourself.
Lecture
Video Length: 20m
Subtitles By: Melanie Föll
Description: This lecture will provide an introduction to mass spectrometry (MS) based proteomics analysis. Slides created by Melanie Föll.
Training Material: Slides
Subtitles By: Melanie Föll
Description: This lecture will provide an introduction to mass spectrometry (MS) based proteomics analysis. Slides created by Melanie Föll.
Training Material: Slides
Supporting Materials
- Slides: Introduction to proteomics, protein identification, quantification and statistical modelling
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_introduction-to-ms - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_introduction-to-ms ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Hands-on Tutorial
Video Length: 1h
Subtitles By: Melanie Föll
Description: Modern mass spectrometry-based proteomics enables the identification and quantification of thousands of proteins. Therefore, quantitative mass spectrometry represents an indispensable technology for biological and clinical research. Statistical analyses are required for the unbiased answering of scientific questions and to uncover all important information in the proteomic data. In this training we will cover the full analysis workflow from label-free, data dependent acquisition (DDA) raw data to statistical results. We’ll use two popular quantitative proteomics software: MaxQuant and MSstats.
Training Material: Tutorial, Example History
Subtitles By: Melanie Föll
Description: Modern mass spectrometry-based proteomics enables the identification and quantification of thousands of proteins. Therefore, quantitative mass spectrometry represents an indispensable technology for biological and clinical research. Statistical analyses are required for the unbiased answering of scientific questions and to uncover all important information in the proteomic data. In this training we will cover the full analysis workflow from label-free, data dependent acquisition (DDA) raw data to statistical results. We’ll use two popular quantitative proteomics software: MaxQuant and MSstats.
Training Material: Tutorial, Example History
Speaker
Supported Servers
Supporting Materials
- Tutorial: MaxQuant and MSstats for the analysis of label-free data
- Example History: Galaxy History of this tutorial
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_maxquant-and-msstats - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_maxquant-and-msstats ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
Data Independent Acquisition Mass Spectrometry (DIA-MS) provides reproducible quantitative information as an improvement over the Data Dependent Acquisition (DDA). The EncyclopeDIA workflow tutorial will guide the user through the steps of a) conversion of the input DIA-MS RAW data files to mzML; b) the generation of a Chromatogram Library using the gas-phase fractionation (GPF) method and spectral library and c) generation of peptide and protein quantitation outputs.Lecture
Video Length: 20m
Subtitles By: Emma Leith
Description: This lecture will introduce EncyclopeDIA.
Training Material: Tutorial
Subtitles By: Emma Leith
Description: This lecture will introduce EncyclopeDIA.
Training Material: Tutorial
Speaker
Tutorial
Video Length: 30m
Subtitles By: Mehmet Tekman
Description: This tutorial will walk you through an analysis with EncyclopeDIA step by step.
Training Material: Tutorial
Subtitles By: Mehmet Tekman
Description: This tutorial will walk you through an analysis with EncyclopeDIA step by step.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: DIA Mass-spectrometry with EncyclopeDIA
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_ms-encyclopedia - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_ms-encyclopedia ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Tutorial
Video Length: 30m
Subtitles By: Florence Combes
Description: This tutorial covers an annotation pipeline for a protein list identified by LC-MS/MS experiments.
Training Material: Tutorial
Subtitles By: Florence Combes
Description: This tutorial covers an annotation pipeline for a protein list identified by LC-MS/MS experiments.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Annotating a protein list identified by LC-MS/MS experiments
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_proteore-protein-list-annotation - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_proteore-protein-list-annotation ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Self-Study Tutorial
A biomarker is a measurable biological component that can be routinely detected in clinical practice and reflects a disease state, response to therapeutic treatment, or other relevant biological state. In this tutorial we introduce successively the tools of this pipeline, and guide you to execute them in order to complete the entire pipeline on a concrete example.
Supported Servers
Supporting Materials
- Tutorial: Biomarker candidate identification
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_proteore-biomarkers-discovery - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_proteore-biomarkers-discovery ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Video Demo
Video Length: 1h
Subtitles By: Emma Leith
Description: In this tutorial, the basic workflow for metaproteomics is described, which includes database search, seeking taxonomy information and functional analysis. Related metaproteomics and functional microbiome tools and GTN tutorials are also mentioned in this tutorial.
Training Material: Tutorial
Subtitles By: Emma Leith
Description: In this tutorial, the basic workflow for metaproteomics is described, which includes database search, seeking taxonomy information and functional analysis. Related metaproteomics and functional microbiome tools and GTN tutorials are also mentioned in this tutorial.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Metaproteomics Introduction
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_metaproteomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_metaproteomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture and Demo
Video Length: 35m
Subtitles By: Emma Leith
Description: The Coronavirus Disease 2019 (COVID-19) global pandemic has had a profound, lasting impact on the world’s population. Accurate and timely diagnosis of COVID-19 infection is an important step for providing care and containing its further spread. In this tutorial, attendees will be introduced to two workflows – a) database search workflow and b) peptide validation workflow. Attendees of the workshop will get an in-depth knowledge of the Galaxy workflows that detect SARS-CoV-2 peptides (10.1186/s12014-021-09321-1)) and co-infecting pathogen peptides (10.1021/acs.jproteome.0c00822).
Training Material: Slides, Workflow
Subtitles By: Emma Leith
Description: The Coronavirus Disease 2019 (COVID-19) global pandemic has had a profound, lasting impact on the world’s population. Accurate and timely diagnosis of COVID-19 infection is an important step for providing care and containing its further spread. In this tutorial, attendees will be introduced to two workflows – a) database search workflow and b) peptide validation workflow. Attendees of the workshop will get an in-depth knowledge of the Galaxy workflows that detect SARS-CoV-2 peptides (10.1186/s12014-021-09321-1)) and co-infecting pathogen peptides (10.1021/acs.jproteome.0c00822).
Training Material: Slides, Workflow
Speaker
Supporting Materials
- Slides: Pandemics Research using Mass Spectrometry
- Workflow: Pandemics Research using Mass Spectrometry
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_pandemics_research_ms - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_pandemics_research_ms ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Proteogenomics
Proteogenomics utilizes a combination of proteomics, genomics, and transcriptomics to aid in the discovery and identification of peptides
Lecture
Video Length: 20m
Subtitles By: Emma Leith
Description: In this opening presentation, the basic components of proteogenomics are described, including the main steps in the bioinformatics analysis workflow that make up this approach and will be detailed in the following tutorials. Some examples of research questions that benefit from a proteogenomics approach are also highlighted.
Training Material: Slides
Subtitles By: Emma Leith
Description: In this opening presentation, the basic components of proteogenomics are described, including the main steps in the bioinformatics analysis workflow that make up this approach and will be detailed in the following tutorials. Some examples of research questions that benefit from a proteogenomics approach are also highlighted.
Training Material: Slides
Speaker
Supporting Materials
- Slides: Introduction to Proteogenomics
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_protegenomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_protegenomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Tutorial
Video Length: 40m
Subtitles By: Emma Leith
Description: In this tutorial, we will provide a walkthrough on how to generate a customized protein sequence database using RNA-Seq data. The resultant FASTA database contains sequences with single amino acid variants (SAVs), insertions and deletions (indels)and transcript assemblies (splicing variants). This database can then be used to identify protein sequence variants from the mass spectrometry data.
Training Material: Tutorial
Subtitles By: Emma Leith
Description: In this tutorial, we will provide a walkthrough on how to generate a customized protein sequence database using RNA-Seq data. The resultant FASTA database contains sequences with single amino acid variants (SAVs), insertions and deletions (indels)and transcript assemblies (splicing variants). This database can then be used to identify protein sequence variants from the mass spectrometry data.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Proteogenomics 1: Database Creation
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_protegenomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_protegenomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Demo
Video Length: 30m
Subtitles By: Emma Leith
Description: In this demonstration, we’re continuing the process of proteogenomic analysis. Here, we search mass spectrometry data against a custom proteogenomics FASTA database to create peptide spectral matches (PSMs) for each dataset; we also isolate non-canonical peptides from the resulting data for further analysis. If you would like to view the results yourself, we provide example histories in the FAQ document
Training Material: Tutorial, Slides
Subtitles By: Emma Leith
Description: In this demonstration, we’re continuing the process of proteogenomic analysis. Here, we search mass spectrometry data against a custom proteogenomics FASTA database to create peptide spectral matches (PSMs) for each dataset; we also isolate non-canonical peptides from the resulting data for further analysis. If you would like to view the results yourself, we provide example histories in the FAQ document
Training Material: Tutorial, Slides
Speaker
Supported Servers
Supporting Materials
- Tutorial: Proteogenomics 2: Database search
- Slides: Proteogenomics 2: Database search
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_protegenomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_protegenomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Demo
Video Length: 40m
Subtitles By: Subina Mehta
Description: In this demonstration, we will investigate the peptides that were identified during proteogenomics tutorial 2. We will identify the presence of novel proteoforms that are absent in the reference database, annotate the novel peptides and visualize them using the Multi-omics Visualization Platform (MVP). If you would like to view the results yourself, we provide example histories in the FAQ document
Training Material: Tutorial
Subtitles By: Subina Mehta
Description: In this demonstration, we will investigate the peptides that were identified during proteogenomics tutorial 2. We will identify the presence of novel proteoforms that are absent in the reference database, annotate the novel peptides and visualize them using the Multi-omics Visualization Platform (MVP). If you would like to view the results yourself, we provide example histories in the FAQ document
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Proteogenomics 3: Novel peptide analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_protegenomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_protegenomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Microbial Analysis using Galaxy
Lecture & Hands-on Tutorial
Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. According to the WHO, in 2018 there were 10.0 million new cases of TB worldwide and 1.4 million deaths due to the disease, making TB the world’s most deadly infectious disease.Lecture
Video Length: 20m
Subtitles By: Saskia Hiltemann
Description: Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. According to the WHO, in 2018 there were 10.0 million new cases of TB worldwide and 1.4 million deaths due to the disease, making TB the world’s most deadly infectious disease.
Training Material: Slides, Tutorial
Subtitles By: Saskia Hiltemann
Description: Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. According to the WHO, in 2018 there were 10.0 million new cases of TB worldwide and 1.4 million deaths due to the disease, making TB the world’s most deadly infectious disease.
Training Material: Slides, Tutorial
Speaker
Tutorial
Video Length: 40m
Subtitles By: Peter van Heusden, Nadia Goué, Helena Rasche
Description: Variation in the genome of M. tuberculosis (Mtb) is associated with changes in phenotype, for example drug resistance and virulence. It is also useful for outbreak investigation as the single nucleotide polymorphisms (SNPs) in a sample can be used to build a phylogeny.
Training Material: Slides, Tutorial
Subtitles By: Peter van Heusden, Nadia Goué, Helena Rasche
Description: Variation in the genome of M. tuberculosis (Mtb) is associated with changes in phenotype, for example drug resistance and virulence. It is also useful for outbreak investigation as the single nucleotide polymorphisms (SNPs) in a sample can be used to build a phylogeny.
Training Material: Slides, Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Variant Analysis: M. Tuberculosis Variant Analysis
- Tutorial: Variant Analysis: M. Tuberculosis Variant Analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #microbial_tuberculosis-variant-analysis - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #microbial_tuberculosis-variant-analysis ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
This lecture briefly introduces 16S sequencing, a popular technique used for taxonomic profiling of microbial communities.Lecture
Speaker
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Introduction to Metagenomics Analyses
- Tutorial: 16S Microbial Analysis with mothur
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #microbiome_16s-microbial-analysis - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #microbiome_16s-microbial-analysis ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Wetlab Demo, Lecture & Hands-on Tutorial
Antimicrobial resistnace (AMR) poses a major threat to human health. Plasmids are able to transfer AMR genes among bacterial isolates Long-read sequencing technologies aid in the reconstruction of bacterials genomes and plasmids, in order to determine the presence of antimicrobial resistant genes.Wetlab: Genomic DNA sequencing by Oxford Nanopore MinIon
Video Length: 20m
Subtitles By: Saskia Hiltemann
Description: This video will show you the full process of sequencing a bacterial genome using the Oxford Nanopore MinION sequencer.
Training Material: Tutorial, Related Tutorial
Subtitles By: Saskia Hiltemann
Description: This video will show you the full process of sequencing a bacterial genome using the Oxford Nanopore MinION sequencer.
Training Material: Tutorial, Related Tutorial
Speaker
Nanopore Whole Bacterial Genome Sequencing in the Clinic
Video Length: 30m
Subtitles By: Helena Rasche
Description: Nanopore Sequencing has many applications in a clinical setting. In this lecture, Astrid Heikema discusses how her group at the Erasmus Medical Center uses Nanopore for sequencing of bacterial Genomes.
Training Material: Tutorial, Related Tutorial
Subtitles By: Helena Rasche
Description: Nanopore Sequencing has many applications in a clinical setting. In this lecture, Astrid Heikema discusses how her group at the Erasmus Medical Center uses Nanopore for sequencing of bacterial Genomes.
Training Material: Tutorial, Related Tutorial
Speaker
Antibiotic Resistance Detection with Nanopore Plasmid Data
Video Length: 45m
Subtitles By: Bérénice Batut
Description: This tutorial will guide you through the process of assembling your Nanopore-sequenced bacterial samples and determining the presence of antibiotic resistance genes.
Training Material: Tutorial, Related Tutorial
Subtitles By: Bérénice Batut
Description: This tutorial will guide you through the process of assembling your Nanopore-sequenced bacterial samples and determining the presence of antibiotic resistance genes.
Training Material: Tutorial, Related Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Antibiotic resistance detection of plasmid data
- Related Tutorial: 16S Microbial analysis with Nanopore data
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #microbiome_antibiotic-resistance-detection-nanopore - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #microbiome_antibiotic-resistance-detection-nanopore ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Tutorial
Video Length: 1h30m
Subtitles By: Engy Nasr, Saskia Hiltemann
Description: Metatranscriptomics analysis examines how the microbiome responds to the environment by studying the taxonomic composition and functional analysis of genes expressed by the microbiome, using microbial community RNASeq data and subsequent metatranscriptomics workflows. This workshop will introduce researchers to the basic concepts and tools from the ASaiM-MT workflow. ASaiM-MT provides a curated collection of tools to explore and visualize taxonomic and functional information from metatranscriptomic sequences.
Training Material: Slides from video, Related Slides, Tutorial
Subtitles By: Engy Nasr, Saskia Hiltemann
Description: Metatranscriptomics analysis examines how the microbiome responds to the environment by studying the taxonomic composition and functional analysis of genes expressed by the microbiome, using microbial community RNASeq data and subsequent metatranscriptomics workflows. This workshop will introduce researchers to the basic concepts and tools from the ASaiM-MT workflow. ASaiM-MT provides a curated collection of tools to explore and visualize taxonomic and functional information from metatranscriptomic sequences.
Training Material: Slides from video, Related Slides, Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides from video: Metatranscriptomics analysis using microbiome RNA-seq data
- Related Slides: Introduction to Metatranscriptomics
- Tutorial: Metatranscriptomics analysis using microbiome RNA-seq data
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #microbiome_metatranscriptomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #microbiome_metatranscriptomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Video Demo
Video Length: 1h
Subtitles By: Emma Leith
Description: In this tutorial, the basic workflow for metaproteomics is described, which includes database search, seeking taxonomy information and functional analysis. Related metaproteomics and functional microbiome tools and GTN tutorials are also mentioned in this tutorial.
Training Material: Tutorial
Subtitles By: Emma Leith
Description: In this tutorial, the basic workflow for metaproteomics is described, which includes database search, seeking taxonomy information and functional analysis. Related metaproteomics and functional microbiome tools and GTN tutorials are also mentioned in this tutorial.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Metaproteomics Introduction
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_metaproteomics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_metaproteomics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Machine Learning
Lecture
Video Length: 15m
Subtitles By: Anup Kumar
Description: The lecture explains introductory concepts in machine learning such as supervised and unsupervised learning, classification and regression, hyperparameter optimisation, cross-validation, train, test and validation sets.
Training Material: Slides
Subtitles By: Anup Kumar
Description: The lecture explains introductory concepts in machine learning such as supervised and unsupervised learning, classification and regression, hyperparameter optimisation, cross-validation, train, test and validation sets.
Training Material: Slides
Speaker
Supporting Materials
- Slides: Introduction to Machine Learning
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #machine_learning_introduction - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #machine_learning_introduction ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Tutorial
Video Length: 1h50m
Subtitles By: Anup Kumar
Description: The talk includes a lecture followed by a hands-on session to apply multiple classification algorithms on the Quantitative structure-activity relationship (QSAR) dataset to predict the biodegradable activity of chemical compounds. QSAR models attempt to predict the activity or property of chemicals based on their chemical structure. To achieve this, a database of compounds is collected for which the property of interest is known. For each compound, molecular descriptors are collected which describe the structure (for example - molecular weight, number of nitrogen atoms, number of carbon-carbon double bonds). Using these descriptors, a model is constructed which is capable of predicting the property of interest for a new, unknown molecule. In this tutorial, we will use a database assembled from experimental data of the Japanese Ministry of International Trade and Industry to create a classification model by applying simple and complex classifiers to learn the nature of biodegradation. We will use this model to classify new molecules into one of two classes - biodegradable or non-biodegradable. Different visualisations are used to analyze the results after applying each classification algorithm. Hyperparameters of one of the classifiers are also optimised.
Training Material: Tutorial, Slides
Subtitles By: Anup Kumar
Description: The talk includes a lecture followed by a hands-on session to apply multiple classification algorithms on the Quantitative structure-activity relationship (QSAR) dataset to predict the biodegradable activity of chemical compounds. QSAR models attempt to predict the activity or property of chemicals based on their chemical structure. To achieve this, a database of compounds is collected for which the property of interest is known. For each compound, molecular descriptors are collected which describe the structure (for example - molecular weight, number of nitrogen atoms, number of carbon-carbon double bonds). Using these descriptors, a model is constructed which is capable of predicting the property of interest for a new, unknown molecule. In this tutorial, we will use a database assembled from experimental data of the Japanese Ministry of International Trade and Industry to create a classification model by applying simple and complex classifiers to learn the nature of biodegradation. We will use this model to classify new molecules into one of two classes - biodegradable or non-biodegradable. Different visualisations are used to analyze the results after applying each classification algorithm. Hyperparameters of one of the classifiers are also optimised.
Training Material: Tutorial, Slides
Speaker
Supported Servers
Supporting Materials
- Tutorial: Classification in Machine Learning
- Slides: Classification in Machine Learning
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #machine_learning_classification - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #machine_learning_classification ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Tutorial
Video Length: 1h29m
Subtitles By: Anup Kumar
Description: The talk includes a lecture followed by a hands-on session to apply multiple regression algorithms on the DNA-methylation dataset to predict biological age. In this tutorial, we will build a regression model for chronological age prediction, based on DNA methylation. This is based on the work of Jana Naue et al. 2017, in which biomarkers are examined to predict the chronological age of humans by analyzing the DNA methylation patterns. Different machine learning algorithms are used in this study to make an age prediction. It has been recognized that within each individual, the level of DNA methylation changes with age. This knowledge is used to select useful biomarkers from DNA methylation datasets. The CpG sites with the highest correlation to age are selected as the biomarkers (and therefore features for building a regression model). In this tutorial, specific biomarkers are analyzed by machine learning algorithms to create an age prediction model. Multiple visualisations are also used to analyse the predictions made by simple and complex regressors and hyperparameters of one of the regressors also optimised.
Training Material: Tutorial, Slides
Subtitles By: Anup Kumar
Description: The talk includes a lecture followed by a hands-on session to apply multiple regression algorithms on the DNA-methylation dataset to predict biological age. In this tutorial, we will build a regression model for chronological age prediction, based on DNA methylation. This is based on the work of Jana Naue et al. 2017, in which biomarkers are examined to predict the chronological age of humans by analyzing the DNA methylation patterns. Different machine learning algorithms are used in this study to make an age prediction. It has been recognized that within each individual, the level of DNA methylation changes with age. This knowledge is used to select useful biomarkers from DNA methylation datasets. The CpG sites with the highest correlation to age are selected as the biomarkers (and therefore features for building a regression model). In this tutorial, specific biomarkers are analyzed by machine learning algorithms to create an age prediction model. Multiple visualisations are also used to analyse the predictions made by simple and complex regressors and hyperparameters of one of the regressors also optimised.
Training Material: Tutorial, Slides
Speaker
Supported Servers
Supporting Materials
- Tutorial: Regression in Machine Learning
- Slides: Regression in Machine Learning
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #machine_learning_regression - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #machine_learning_regression ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Tutorial
Video Length: 1h30m
Subtitles By: Maria Tsagiopoulou
Description: This is an Introduction to Machine Learning in R, in which you’ll learn the basics of unsupervised learning for pattern recognition and supervised learning for prediction. At the end of this workshop, we hope that you will
Training Material: Tutorial
Subtitles By: Maria Tsagiopoulou
Description: This is an Introduction to Machine Learning in R, in which you’ll learn the basics of unsupervised learning for pattern recognition and supervised learning for prediction. At the end of this workshop, we hope that you will
- appreciate the importance of performing exploratory data analysis (or EDA) before starting to model your data.
- understand the basics of unsupervised learning and know the examples of principal component analysis (PCA) and k-means clustering.
- understand the basics of supervised learning for prediction and the differences between classification and regression.
- understand modern machine learning techniques and principles, such as test train split, k-fold cross validation and regularization.
- be able to write code to implement the above techniques and methodologies using R, caret and glmnet.
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Introduction to Machine Learning using R
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #machine_learning_with_r - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #machine_learning_with_r ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Trio of Hands-on Tutorials
Artificial neural networks are a machine learning discipline roughly inspired by how neurons in a human brain work. In the past decade, there has been a huge resurgence of neural networks thanks to the vast availability of data and enormous increases in computing capacity (Successfully training complex neural networks in some domains requires lots of data and compute capacity). There are various types of neural networks, 3 of which we will cover in this set of tutorials.Feedforward Neural Networks
Video Length: 1h10m
Subtitles By: Kaivan Kamali
Description: This hands-on tutorial covers Feedforward Neural Networks (FNN)
Training Material: FNN Slides, FNN Tutorial, RNN Slides, RNN Tutorial, CNN Slides, CNN Tutorial
Subtitles By: Kaivan Kamali
Description: This hands-on tutorial covers Feedforward Neural Networks (FNN)
Training Material: FNN Slides, FNN Tutorial, RNN Slides, RNN Tutorial, CNN Slides, CNN Tutorial
Speaker
Recurrent Neural Networks
Video Length: 50m
Subtitles By: Kaivan Kamali
Description: This hands-on tutorial covers Recurrenct Neural Networks (RNN)
Training Material: FNN Slides, FNN Tutorial, RNN Slides, RNN Tutorial, CNN Slides, CNN Tutorial
Subtitles By: Kaivan Kamali
Description: This hands-on tutorial covers Recurrenct Neural Networks (RNN)
Training Material: FNN Slides, FNN Tutorial, RNN Slides, RNN Tutorial, CNN Slides, CNN Tutorial
Speaker
Convolutional Neural Networks
Video Length: 1h
Subtitles By: Filippos Zacharopoulos
Description: This hands-on tutorial covers Convolutional Neural Networks (CNN)
Training Material: FNN Slides, FNN Tutorial, RNN Slides, RNN Tutorial, CNN Slides, CNN Tutorial
Subtitles By: Filippos Zacharopoulos
Description: This hands-on tutorial covers Convolutional Neural Networks (CNN)
Training Material: FNN Slides, FNN Tutorial, RNN Slides, RNN Tutorial, CNN Slides, CNN Tutorial
Speaker
Supporting Materials
- FNN Slides: Feedforward Neural Networks
- FNN Tutorial: Feedforward Neural Networks
- RNN Slides: Recurrent Neural Networks
- RNN Tutorial: Recurrent Neural Networks
- CNN Slides: Convolutional Neural Networks
- CNN Tutorial: Convolutional Neural Networks
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #machine_learning_deep-neural-networks-demystified - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #machine_learning_deep-neural-networks-demystified ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:SARS-CoV-2 analysis
Here we have collected all the training sessions that cover SARS-CoV-2 analysis. These sessions also appear in other modules and cover a range of topics, but one thing they have in common is that they use SARS-CoV-2 or COVID-19 data.
Demo
Video Length: 15m
Subtitles By: Anton Nekrutenko
Description: In this demo video, we will show how to perform an NGS data analysis, using a SARS-CoV-2 example dataset. If you would like to run the full tutorial yourself, please find the link below (duration 1h-1.5h).
Training Material: Tutorial
Subtitles By: Anton Nekrutenko
Description: In this demo video, we will show how to perform an NGS data analysis, using a SARS-CoV-2 example dataset. If you would like to run the full tutorial yourself, please find the link below (duration 1h-1.5h).
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: NGS data logistics
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_data-logistics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_data-logistics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture & Hands-on Tutorial
Traditionally, after a list of run accessions has been filtered on the NCBI website, the accessions are used to download and extract fastq using the SRA toolkit to enter into the next steps of the workflow. A newer compressed data type generated from raw submission data for sequences containing hits to SARS-CoV-2 is also accessible to Galaxy users from SRA in the Cloud.
SRA Aligned Read Format (SARFs) provides further output options other than basic FASTQ format, for example:
- contigs created from the raw reads in the run (FASTA format)
- reads aligned back to the contigs (SAM format)
- VCF files generated for each record relative to the SARS-CoV-2 RefSeq record.
Lecture
Video Length: 15m
Subtitles By: Jonathan Trow
Description: This lecture will introduce the SRA Aligned Read format available in the cloud from SRA, as well as some accompanying metadata that can help you search and filter the data. This sessions is aimed specifically at SARS-CoV-2 runs in SRA.
Training Material: Slides, Tutorial, Related Tutorial
Subtitles By: Jonathan Trow
Description: This lecture will introduce the SRA Aligned Read format available in the cloud from SRA, as well as some accompanying metadata that can help you search and filter the data. This sessions is aimed specifically at SARS-CoV-2 runs in SRA.
Training Material: Slides, Tutorial, Related Tutorial
Speaker
Tutorial
Video Length: 40m
Subtitles By: Jonathan Trow
Description: This tutorials will walk you through accessing and using SRA Aligned read format in Galaxy.
Training Material: Slides, Tutorial, Related Tutorial
Subtitles By: Jonathan Trow
Description: This tutorials will walk you through accessing and using SRA Aligned read format in Galaxy.
Training Material: Slides, Tutorial, Related Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Introduction to SRA Aligned Read Format and Cloud Metadata for SARS-CoV-2
- Tutorial: SRA Aligned Read Formats to Speed Up SARS-CoV-2 data Analysis
- Related Tutorial: From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_advanced_sra-aligned-read-format - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_advanced_sra-aligned-read-format ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 25m
Subtitles By: Mehmet Tekman
Description: This tutorial guides you through the preprocessing of sequencing data of bronchoalveolar lavage fluid (BALF) samples obtained from early COVID-19 patients in China. Since such samples are expected to be contaminated signficantly with human sequenced reads, the goal is to enrich the data for SARS-CoV-2 reads by identifying and discarding reads of human origin before trying to assemble the viral genome sequence.
Training Material: Slides, Tutorial
Subtitles By: Mehmet Tekman
Description: This tutorial guides you through the preprocessing of sequencing data of bronchoalveolar lavage fluid (BALF) samples obtained from early COVID-19 patients in China. Since such samples are expected to be contaminated signficantly with human sequenced reads, the goal is to enrich the data for SARS-CoV-2 reads by identifying and discarding reads of human origin before trying to assemble the viral genome sequence.
Training Material: Slides, Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Assembly: Unicycler assembly of SARS-CoV-2 genome
- Tutorial: Assembly: Unicycler assembly of SARS-CoV-2 genome
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ngs_advanced_unicycler-assembly-sars-cov2-genome - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ngs_advanced_unicycler-assembly-sars-cov2-genome ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Lecture and Demo
Video Length: 35m
Subtitles By: Emma Leith
Description: The Coronavirus Disease 2019 (COVID-19) global pandemic has had a profound, lasting impact on the world’s population. Accurate and timely diagnosis of COVID-19 infection is an important step for providing care and containing its further spread. In this tutorial, attendees will be introduced to two workflows – a) database search workflow and b) peptide validation workflow. Attendees of the workshop will get an in-depth knowledge of the Galaxy workflows that detect SARS-CoV-2 peptides (10.1186/s12014-021-09321-1)) and co-infecting pathogen peptides (10.1021/acs.jproteome.0c00822).
Training Material: Slides, Workflow
Subtitles By: Emma Leith
Description: The Coronavirus Disease 2019 (COVID-19) global pandemic has had a profound, lasting impact on the world’s population. Accurate and timely diagnosis of COVID-19 infection is an important step for providing care and containing its further spread. In this tutorial, attendees will be introduced to two workflows – a) database search workflow and b) peptide validation workflow. Attendees of the workshop will get an in-depth knowledge of the Galaxy workflows that detect SARS-CoV-2 peptides (10.1186/s12014-021-09321-1)) and co-infecting pathogen peptides (10.1021/acs.jproteome.0c00822).
Training Material: Slides, Workflow
Speaker
Supporting Materials
- Slides: Pandemics Research using Mass Spectrometry
- Workflow: Pandemics Research using Mass Spectrometry
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #proteomics_pandemics_research_ms - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #proteomics_pandemics_research_ms ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Plant data analysis
Here we have collected all the training sessions that cover plant data analysis. These sessions also appear in other modules and cover a range of topics, but one thing they have in common is that they use plant datasets.
Lecture & Hands-on Tutorial
In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.Lecture
Video Length: 10m
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Tutorial
Video Length: 1h10m
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Subtitles By: Cristóbal Gallardo
Description: In this tutorial, we will analyze RNA sequencing data to extract information about potential genes regulated in response to abiotic stress in plants. For this purpose, the chosen approach is the identification of genes with complementary regions to miRNAs upregulated in response to brassinosteroids.
Training Material: Slides, Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Whole transcriptome analysis of Arabidopsis thaliana
- Tutorial: Whole transcriptome analysis of Arabidopsis thaliana
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_mirna-data-analysis - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_mirna-data-analysis ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Hands-on Tutorial
Video Length: 55m
Subtitles By: Mehmet Tekman
Description: This tutorial replicates the paper “Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing” (Denyer et al. 2019), where the major plant cell types are recovered in the data as well as distinguishing between QC and meristematic cells. The original paper used the Seurat analysis suite (Satija et al. 2015), but here we will use the ScanPy analysis suite (Wolf et al. 2018) integrated within the single-cell resources in Galaxy (Tekman et al. 2020).
Training Material: Tutorial
Subtitles By: Mehmet Tekman
Description: This tutorial replicates the paper “Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing” (Denyer et al. 2019), where the major plant cell types are recovered in the data as well as distinguishing between QC and meristematic cells. The original paper used the Seurat analysis suite (Satija et al. 2015), but here we will use the ScanPy analysis suite (Wolf et al. 2018) integrated within the single-cell resources in Galaxy (Tekman et al. 2020).
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: Analysis of plant scRNA-Seq Data with Scanpy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: - Have question about the training? Did you run into a problem? Just wanna chat?
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: . Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Visualisation in Galaxy
This module will cover various ways of visualizing your data in Galaxy
Lecture & Hands-on Tutorial
Circos is a popular tool for creating circular graphs to display genomic data. This video will introduce this tool and how to use it within GalaxyLecture
Speaker
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Circos Visualisation
- Tutorial: Visualisation with Circos
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #visualisation_circos - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #visualisation_circos ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Self-Study Tutorial
JBrowse is a popular Genome Browser. It can be used directly within Galaxy. You may have seen it in our Mapping tutorial on Day 1. This tutorial will go into more depth about JBrowse and how to use it to explore your genome.
Supported Servers
Supporting Materials
- Slides: JBrowse
- Tutorial: Genomic Data Visualization with JBrowse
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #visualisation_jbrowse - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #visualisation_jbrowse ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Duo of Hands-on Tutorials
Volcano plots are commonly used to display the results of RNA-seq or other omics experiments. A volcano plot is a type of scatterplot that shows statistical significance (P value) versus magnitude of change (fold change). It enables quick visual identification of genes with large fold changes that are also statistically significant. These tutorials will first teach you how to create such plots from your RNA-Seq results in Galaxy, and then how you can further customized the plots using R directly within Galaxy.Creating Volcano Plots in Galaxy
Video Length: 10m
Subtitles By: Maria Doyle
Description: This tutorial will show you how you can create volcano plots from your RNA-Seq analysis results using Galaxy tools.
Training Material: Tutorial 1, Tutorial 2
Subtitles By: Maria Doyle
Description: This tutorial will show you how you can create volcano plots from your RNA-Seq analysis results using Galaxy tools.
Training Material: Tutorial 1, Tutorial 2
Speaker
Customizing your Volcano Plots with R
Video Length: 15m
Subtitles By: Maria Doyle
Description: The previous tutorial introduced volcano plots and showed how they can be generated with the Galaxy Volcano plot tool. In this tutorial we show how you can customise a plot using the R script output from the tool.
Training Material: Tutorial 1, Tutorial 2
Subtitles By: Maria Doyle
Description: The previous tutorial introduced volcano plots and showed how they can be generated with the Galaxy Volcano plot tool. In this tutorial we show how you can customise a plot using the R script output from the tool.
Training Material: Tutorial 1, Tutorial 2
Speaker
Supporting Materials
- Tutorial 1: Visualization of RNA-Seq results with Volcano Plot
- Tutorial 2: Customizing your Volcano plots using R in Galaxy
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #transcriptomics_volcano-plot - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #transcriptomics_volcano-plot ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Galaxy for Non-Genomics
Galaxy is widely used for analysis of genomics data, but is not limited to any scientific domain. This module covers some non-genomics topics such as Climate research and cheminformatics.
Lecture & Hands-on Tutorial
Terrestrial ecosystem models have been widely used to study the impact of climate changes on vegetation and terrestrial biogeochemical cycles in climate modelling community. They are also more and more applied in ecological studies to help ecologists to better understand the processes. But the technical challenges are still too high for most of the ecologists to use them. This practical aims at familiarizing you (especially ecologists) with running a terrestrial ecosystem model (i.e., CLM-FATES) at site-level in Galaxy and analyzing the model results.Lecture
Tutorial
Speaker
Supported Servers
Supporting Materials
- Slides: Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
- Tutorial: Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #climate_fates - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #climate_fates ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Tutorial
Video Length: 1h40m
Subtitles By: Simon Bray
Description: Molecular dynamics (MD) is a method to simulate molecular motion by iterative application of Newton’s laws of motion. This tutorial provides an introduction to using high-throughput molecular dynamics to study protein-ligand interaction, as applied to the N-terminal domain of Hsp90 (heat shock protein 90).
Training Material: Tutorial
Subtitles By: Simon Bray
Description: Molecular dynamics (MD) is a method to simulate molecular motion by iterative application of Newton’s laws of motion. This tutorial provides an introduction to using high-throughput molecular dynamics to study protein-ligand interaction, as applied to the N-terminal domain of Hsp90 (heat shock protein 90).
Training Material: Tutorial
Speaker
Supported Servers
Supporting Materials
- Tutorial: High Throughput Molecular Dynamics and Analysis
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #cheminformatics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #cheminformatics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
Self-Study Tutorial
Cheminformatics is the use of computational techniques and information about molecules to solve problems in chemistry. This involves a number of steps: retrieving data on chemical compounds, sorting data for properties which are of interest, and extracting new information. This tutorial will provide a brief overview of all of these, centered around protein-ligand docking, a molecular modelling technique.
Supported Servers
Supporting Materials
- Tutorial: Protein-ligand docking
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #cheminformatics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #cheminformatics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Self-Study Tutorial
Molecular dynamics (MD) is a method to simulate molecular motion by iterative application of Newton’s laws of motion. It is often applied to large biomolecules such as proteins or nucleic acids. This is a introductory guide to using GROMACS (Abraham et al. 2015) in Galaxy to prepare and perform molecular dynamics on a small protein. For the tutorial, we will perform our simulations on hen egg white lysozyme.
Supported Servers
Supporting Materials
- Tutorial: Running molecular dynamics simulations using GROMACS
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #cheminformatics - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #cheminformatics ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:Self-Study Tutorial
This tutorial aims to present the PAMPA Galaxy workflow, how to use it to compute common biodiversity metrics from species abundance data and analyse it through generalized linear (mixed) models (GLM and GLMM). This workflow made up of 5 tools will allow you to process temporal series data that include at least year, location and species sampled along with abundance value and, finally, generate article-ready data products.
Supported Servers
Supporting Materials
- Tutorial: Compute and analyze biodiversity metrics with PAMPA toolsuite
- FAQ Document - Have a question about this training? Check here to see if it has already been answered
- Slack channel: #ecology_pampa-toolsuite - Have question about the training? Did you run into a problem? Just wanna chat? Ask an Instructor on Slack!
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: (Channel: #ecology_pampa-toolsuite ). Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
Instructors
The following instructors are available online this week for support for this session:
All other Tutorials
Please also feel free to explore all the other tutorials on the GTN website, and do any that sound interesting to you. Our instructors will do their best to support you in any of these tutorials.
All done?
Please feel free to hang around in Slack and talk to us and the rest of the Galaxy community! Thanks for joining!!
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- About the Materials? (slides, training manuals) use the feedback forms at the end of the tutorial
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Socialize with each other!
Join one of the social sessions
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Check out all channels in Slack starting with #social-
Want to organize something yourself? Tell us your idea and we will make a channel for it!
Meet the Galaxy Community!
Enjoying the course so far? Learn more about the Global Galaxy Community and how YOU can become part of it, by watching this video!
Self-Study Tutorial
This short video gives an overview of the worldwide Galaxy community, and different ways you can get involved!
Supporting Materials
- GalaxyProject Home: galaxyproject.org
- Galaxy servers: Find a Galaxy server near you!
- Galaxy Training Network: Start learning Galaxy
- Support: Galaxy Help Forum
- Galaxy Publications: Zotero
- Galaxy Communities: Find and Join a community
- Events: Galaxy Event Horizon
- Mailing Lists: Stay informed of Galaxy activity!
- Galaxy Working Groups: Find and join a WG
- GitHub: galaxyproject
- Gitter Chat: Start talking with the Galaxy Community!
- GTN Gitter: Join the training discussion here!
- PaperCuts: Monthly Collaboration Fest
- GTN CoFest: Everybody Welcome!
- Twitter: follow @galaxyproject
- Twitter: follow the GTN @gxytraining
- Video: Watch it on YouTube
- Slack channel: - Have question about the training? Did you run into a problem? Just wanna chat?
- Finished the session? - Let us know that you've finished it, and what you thought of it! On Slack: . Thanks!
- Enjoyed it? - Like the video on YouTube, Tweet (hashtag #usegalaxy), and follow the GTN on Twitter! @gxytraining
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Survey (~5 minutes): Click here!
Course Certificates
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After the Course
All these materials will remain online, so you can continue working on them for as long as you want. The only difference will be that you should ask your questions on the GTN Gitter channel, instead of Slack.
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Acknowledgements
This Global Galaxy course is only possible thanks to a Global network of instructors and institutes.Presenters & Instructors & Facilitators & Community Caption Contributors
Institutions
