Services

WESkit is an open source implementation of a Workflow Execution Service (WES). It tries to be GA4GH-compliant.

WheatIS is a portal that enables data discovery through an international federation of distant informations systems about wheat genetics and genomics in the frame of the Wheat Initiative (www.wheatinitiative.org). The WheatIS portal allows a keyword-based discovery of any type of data. It currently gives a single entry point to data provided by twelve different worldwide institutes.

Federated genomics data sharing platform allowing users to query genomic and phenotypic information.

Workflow Execution Service automating a number of steps, including: 

1. Fetch and cache a workflow a number of sources
2. Identify the kind of workflow.
3. Fetch and set up workflow execution engine
4. Identify the needed containers by the workflow
5. Execute the workflow in a secure way

Workflow plugins provide pipelines for the most common NGS processing tasks, including alignment (WES, WGS, WGBS, RNA-seq), quality control and variant calling (SNV, indel, CNV, SV).

Workflow plugins provide pipelines for the most common NGS processing tasks, including alignment (WES, WGS, WGBS, RNA-seq), quality control and variant calling (SNV, indel, CNV, SV).

Workflow4Metabolomics resource is based on the Galaxy environment that provides user-friendly interfaces to build, run, and share comprehensive data analysis workflows and gives access to a High Performance Computing environment the ELIXIR-FR/IFB infrastructure. Thus, W4M offers more than 40 tools to process data from all three main technologies (NMR, GCMS, LCMS), including unique algorithms developed by the W4M developers themselves. Data and workflows can be re-used and publicly shared, thus becoming useful references for the community. Finally, the platform provides many tutorials and a help desk.

This package provides functions and routines for a supervised analysis of somatic signatures. In particular, functions to perform a signature analysis with known signatures (LCD = linear combination decomposition) and a signature analysis on stratified mutational catalogue (SMC = stratify mutational catalogue) are provided.