Planemo builds Galaxy Tools with ease
Use Planemo to develop Galaxy tools - it's just pip install planemo.
Data intensive biology for everyone
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biomedical research.
- Accessible: Users without programming experience can easily specify parameters and run tools and workflows.
- Reproducible: Galaxy captures information so that any user can repeat and understand a complete computational analysis.
- Transparent: Users share and publish analyses via the web and create Pages, interactive, web-based documents that describe a complete analysis.
Welcome to the Galaxy Community Hub, where you'll find community curated documentation of all things Galaxy.
Latest Training Materials
The Galaxy community maintains a wide variety of trainings at https://training.galaxyproject.org. Check out the latest metagenomics tutorial by @bebatut and @shiltemann.
News
April 2018 Galactic News – UseGalaxy.org gets some siblings, GCCBOSC and other event news; new pubs, servers, jobs, ...
Galaxy Release 18.01 – Performance, uWSGI, Collection usability, new BAM datatypes, Experimental job caching
March 2018 News of the Galaxy! – GCCBOSC Abstracts, Registration, Housing & Kenotes; Europe, Africa, blog, pubs, servers, jobs, ...
Blog
Coding in the Winter Wonderland: Galaxy Admin Training in Oslo, 2018
Galaxy R Markdown Tools – Using R Markdown as a framework to develop Galaxy tools
Events
The Galaxy Platform as an Accessible, Core Laboratory Solution for Proteogenomic Analysis and Informatics – Presented by the Galaxy-P team
4th de.NBI Genomics training course – Microbial genomics: quality control, assembly, annotation & comparative genomics
Analyse RNAseq sous Galaxy – Utiliser les outils d’analyse de données RNASeq dans l’environnement Galaxy
RNA-Seq analysis using Galaxy – Learn to work with NGS data for small variant detection.
Bioinformatics Analysis of Next Generation Sequencing Data – Bioinformatic analysis of next generation sequencing data, particularly for DNA-seq, RNA-seq, CHIP-seq, and epigenomics