Commissioned Services

ELIXIR's Commissioned Services are technical projects that guide future service development, drive standards adoption and connect ELIXIR Nodes (see Who we are).

They are funded through the budget of the ELIXIR Hub and form part of our ongoing activities in a particular Platform or Community. They are proposed by Platforms, agreed with the ELIXIR Heads of Nodes committee and approved by the ELIXIR Board.

Name of study Platform/Community
A microbial metabolism resource for Systems Biology Data, Microbial biotechnology
Annotation and curation of human genomic variations (2018-Variations) Federated Human Data, Compute, Data, Interoperability
Apple as a Model for Genomic Information Exchange Data, Plant Sciences
BILS-ProteomeXchange integration using EUDAT resources Data
Extending open proteomics data analysis pipelines in the cloud: Additional tools and focus on scalability, supporting the dramatic growth of public proteomics data Data, Compute, Tools, Proteomics
FAIRness of the current ELIXIR Core resources: Application (and test) of newly available FAIR metrics, and identification of steps to increase interoperability (2018-FAIRCDR) Data, Interoperability, Training, Rare Diseases
Funding models for knowledge bases – Towards a sustainable funding model for the UniprotKB/Swiss-Prot use case Data
Increasing Interoperability between ELIXIR Protein Structure and Sequence Resources and Expanding these Resources with 3D-Models of CATH Domains, built by SWISS-MODEL Data, Interoperability, Federated Human Data, 3D-BioInfo
Integrating ELIXIR Italy into ELIXIR activities Data, Federated Human Data, Rare Disease, Interoperability, Tools, Marine Metagenomics
Integrating reference taxonomic databases for metabarcoding and metagenomics identification Data, Marine Metagenomics
Integration and standardization of intrinsically disordered protein data (2018-IDPs) Data, Interoperability
Mapping the landscape of Biocuration in ELIXIR: Practice, capability and training requirements Training, Data, Interoperability
Metabolite Identification Metabolomics, Data, Interoperability, Tools
Mining the proteome: Enabling automated processing and analysis of large-scale proteomics data Data
Towards a distributed Ensembl Data