Teams

The Common Workflow Language (CWL) is an open standard for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, High Energy Physics, and Machine Learning.CWL is developed by a multi-vendor working group consisting ...

A team that gathers the workflow and workflow-related training activities related to ELIXIR, run by ELIXIR or affiliated to ELIXIR; its Hub, Nodes, platforms and communities

EuroScienceGateway will leverage a distributed computing network across 13 European countries, accessible via 6 national, user-friendly web portals, facilitating access to compute and storage infrastructures across Europe as well as to data, tools, workflows and services that can be customized to suit researchers’ needs.EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open infrastructure for data-driven research, contributing an innovative and customizable service for ...

Presentations and events associated with work in FAIR Guiding Principles for Computational Workflows.

Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org

Workflows from the Industrial Biotechnology Innovation and Synthetic Biology Accelerator (IBISBA 1.0) project, which is funded by the European Union Horizon 2020 program INRAIA-02 under grant agreement 730976.

The workflows also appear on https://hub.ibisba.eu

The SDR is concerned with digitisation pipelines for digital access to natural history collections

The SDR integrate machine learning, Artificial Intelligence, and human approaches to extract, enhance, and annotate data from digital images and records at scale. Many collections-holding institutions still need to digitise the bulk of their collections. Digitisation takes time and resources. One of the major challenges in digitising massive collections is finding ways of ensuring high-quality ...