Content Providers
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Glittr.org
Glittr (https://glittr.org) is a web application that helps you find and compare bioinformatics training materials on GitHub and GitLab.
621 training materialsGlittr.org https://glittr.org https://tess.elixir-europe.org/content_providers/glittr-org Glittr (https://glittr.org) is a web application that helps you find and compare bioinformatics training materials on GitHub and GitLab. /system/content_providers/images/000/000/692/original/logo-with-domain.png?1698843802 -
ELIXIR Slovenia
Slovenian national ELIXIR node
5 training materials0 events (19 past events)ELIXIR Slovenia https://elixir.mf.uni-lj.si https://tess.elixir-europe.org/content_providers/elixir-slovenia Slovenian national ELIXIR node /system/content_providers/images/000/000/103/original/ELIXIR_SLOVENIA_white_background.png?1544083070 -
FAIRDOM
Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology.
0 events (2 past events)FAIRDOM https://fair-dom.org/ https://tess.elixir-europe.org/content_providers/fairdom Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology. /system/content_providers/images/000/000/100/original/Screen_Shot_2018-09-06_at_15.54.17.png?1536245244 -
proteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding...
1 training materialproteomicsML https://proteomicsml.org/ https://tess.elixir-europe.org/content_providers/proteomicsml ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks. ProteomicsML was set up as a joint effort of SDU, CompOmics, LUMC, PeptideAtlas, NIST, PRIDE, and MSAID. We believe that ProteomicsML is solid step forward for the field towards more open and reproducible science! /system/content_providers/images/000/000/676/original/proteomicsml-logo.png?1686658675