The Laniakea@ReCaS service, based on Laniakea software stack, provides the possibility to automate the creation of Galaxy-based virtualized environments through an easy setup procedure, providing an on-demand workspace ready to be used by life scientists and bioinformaticians. At the end of the configuration process, the user gains access to a private, production-grade, fully customizable, Galaxy virtual instance. Laniakea features the deployment of a stand-alone or cluster backed Galaxy instances, shared reference data volumes, encrypted data volumes and rapid development of novel Galaxy flavours for specific tasks.
Poster Presentation entitled MAdLand Tools & Resources
Use Napari in the European Galaxy Server as an interactive tool
Seminar talk entitled MAdLand Resources & Tools presented by Deepti Varshney and Saskia Hiltemann
Read about Galaxy's participation at PAG31.
Workflow comments, InvenioRDM integration, improved search, admin and config updates and more!
Feb 26 - Mar 1Hackathon Image Analysis in Galaxy
This hackathon addresses the improvement of Galaxy for image analysis
Galaxy is participating in the Computational Applications in Secondary Metabolite Discovery (CAiSMD) online workshop. Paul will give an oral presentation about the potential of Galaxy for novel secondary metabolite discovery, especially in the context of metagenomics research. There will also be a hands-on session demonstrating a simple use case.
This course introduces scientists to the data analysis platform Galaxy. The course is a beginner course; there is no requirement of any programming skills.
Join us at BioNT, for a 2-day online workshop. Everyone manages their data, but the question is, how well? In this two-day workshop, you will learn how to manage your data properly to make it reusable in the long term, to make your analyses reproducible, and to make your processes transparent. You will learn the basic concepts of research data management, including the FAIR Data Principles. You will also learn about relevant policies, draft a data management plan and learn about the use and benefits of electronic lab notebooks. By the end of this workshop, you will also be able to make your computational results trustworthy and reproducible. Registarion deadline is extended until the 25.02.2024.
This hackathon aims to improve the annotation of Galaxy resources for microbial data analysis and beyond
Laniakea is maintained by the IBIOM-CNR, INFN and the University of Milan.
For any questions regarding Laniakea and other ELIXIR-Italy initiatives, please contact us.
More on Laniakea
Laniakea enables researchers to configure and deploy personal Galaxy instances, exploiting the INDIGO-DataCloud Cloud Stack. Each Galaxy instance is customizable in terms of virtual CPUs, RAM and storage through the web front-end, and deployable with different sets of pre installed tools. Each instance comes with reference data (e.g. genomic sequences) already available for many species, shared among all the instances.
Each Galaxy instance can be provided with an encrypted external storage volume to protect users research data from any unauthorized access attempts and linked to a repository of standard reference data (e.g., genomic sequences).
The service is scalable and both users and service providers can choose among a full range of different computational capabilities: from limited ones to serve e.g. small research groups, Galaxy developers or for didactic and training purposes, to instances with elasticity cluster support to deliver enough computational power.
Laniakea can also be employed as a tool publishing platform. That is, tools developers can choose to publish and make new tools available embedding them in a personalized Galaxy instance. See for example PIPE-T and VINYL.
The Laniakea@ReCaS service, based on Laniakea software stack, has been released for public use, starting on 10 February 2020. A scientific and technical evaluation board appointed by ELIXIR-Italy will assess the scientific soundness and technical feasibility of applications for the Laniakea@ReCaS call. Projects will be evaluated with a “first come, first served” policy until the total available resource annual budget will be assigned.
The call is available here.
All applications must be submitted using this form.