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.
Laniakea@ReCaS
News
Announcing the GBCC2025 Logo Design Contest!
Unleash your creativity for the first-ever Galaxy & Bioconductor Community Conference!
Freiburg Galaxy team at the EGI 2024
Members from the Freiburg Galaxy team traveled to Lecce, Italy to participate and present the EuroScienceGateway (ESG) project at the EGI2024 meeting from 1st-3rd October.
Expanding the Galaxy platform to materials science workflows at STFC
New Opportunities for Better User Group Software (NOBUGS 2024)
Galaxy in Research: New insights into antibody activation using AlphaFold in Galaxy
How do antigens trigger B-cell receptors (BCRs), and can a single mechanism explain the activation of all BCR types? This study explores a unifying model that integrates various mechanisms of BCR triggering, providing fresh perspectives on antibody activation.
Galaxy Newsletter: September 2024
Discover exciting updates, including the Galaxy Training Academy 2024, ColabFold's arrival on Galaxy, GBCC2025, and major community milestones!
Events
Nov 13 - Nov 16Biological Data Science
The scope of this meeting will be the infrastructure, software, and algorithms needed to analyze large data sets in biological research.
Nov 21microGalaxy Meets IWC - A Hackathon for microbial data analysis workflow FAIRification
One-day hackathon focused on integrating, refining, and FAIRifying microbial data analysis Galaxy workflows within the Intergalactic Workflow Commission (IWC), enhancing their accessibility, reusability for the microbiology community
Mar 10 - Mar 14Workshop on high-throughput sequencing data analysis with Galaxy
This course introduces scientists to the data analysis platform Galaxy. The course is a beginner course; there is no requirement of any programming skills.
Our team
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.