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Proteomics is the large-scale experimental study of the proteome, all the proteins produced or modified by an organism or system. Proteomics can tell us about when and where proteins are expressed, protein production and degradation rates, the characterisation of protein post-translational modifications (e.g. phosphorylation), elucidating protein structures, and protein-protein interactions.This information can be combined with data from other omics disciplines (genomics, metagenomics, metabolomics) ...
Space: Independent Teams
Public web page: https://elixir-europe.org/topics/proteomics
The ELIXIR Tools Platform helps communities find, register and benchmark software tools. These tools help researchers access, analyse and integrate biological data, and so drive scientific discovery across the life sciences.We maintain information standards for these tools, and produce, adopt and promote best practices for their development.
Space: ELIXIR
Public web page: https://elixir-europe.org/platforms/tools
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
Space: ELIXIR
Public web page: https://elixir-europe.org
EMBL Centre for Bioimage Analysis
Space: Independent Teams
Public web page: Not specified
The digital platform for the French SARS-CoV-2 genomic surveillance and research program.
Space: Independent Teams
Public web page: https://emergen-db.france-bioinformatique.fr/
The European Marine Omics Biodiversity Observation Network (EMO-BON) is the European Marine Biological Resource Centre’s (EMBRC) response to the need for ecosystem assessment and biological observation of European coastal waters. EMO BON is producing of genomic biodiversity data from 16 coastal stations at frequent time intervals. rich metadata are collected that allow the traceability of the data. Complementary data that included EOVs are collected together with the genomic data. EMO BON genomic ...
Space: Independent Teams
Public web page: https://www.embrc.eu/emo-bon
Disease Ontology (DO) enrichment analysis is an effective means to discover the associations between genes and diseases. However, most current DO-based enrichment methods were unable to solve the over enriched problem caused by the “true-path” rule. To address this problem, we presents EnrichDO, a double weighted iterative model, which is based on the latest annotations of the human genome with DO terms and integrates the DO graph topology on a global scale. On one hand, to reinforce the saliency ...
Space: Independent Teams
Public web page: https://github.com/liangcheng-hrbmu/EnrichDO
An integrative analysis pipeline of genomic and transcriptomic human data for disentangling the genetic origin of a rare-disease in the context of the European Open Science Cloud.
Space: EOSC-Life
Public web page: https://www.eosc-life.eu/services/demonstrators/
Space: EOSC-Life
Public web page: Not specified
Integrating several EU-RI datasets with focus on preclinical and discovery research bioimaging
Space: Independent Teams
Public web page: Not specified