Content Providers
Keywords: Synthetic biology or modelling or Pathway analysis or Machine Learning
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PerMedCoE
PerMedCoE is the HPC/Exascale Centre of Excellence for Personalised Medicine in Europe.
12 training materialsPerMedCoE https://permedcoe.eu https://tess.elixir-europe.org/content_providers/permedcoe PerMedCoE is the HPC/Exascale Centre of Excellence for Personalised Medicine in Europe. /system/content_providers/images/000/000/637/original/LOGO_PerMedCoE.jpg?1636473064 -
BioExcel
BioExcel is the leading European Centre of Excellence for Computational Biomolecular Research. BioExcel develops some of the most popular open-source applications for modelling and simulations of biomolecular systems along with user-friendly workflows and container solutions. The software stack...
2 events (12 past events)BioExcel http://bioexcel.eu/ https://tess.elixir-europe.org/content_providers/bioexcel BioExcel is the leading European Centre of Excellence for Computational Biomolecular Research. BioExcel develops some of the most popular open-source applications for modelling and simulations of biomolecular systems along with user-friendly workflows and container solutions. The software stack comes with great performance and scalability capabilities for extreme-scale utilization of the world's largest high-performance computing (HPC) and high-throughput computing (HTC) compute resource. /system/content_providers/images/000/000/053/original/BioExcel_logo_payoff.png?1470306206 -
Department of Bioinformatics - BiGCaT, Maastricht University
The department of Bioinformatics-BiGCaT is part of NUTRIM the school of Nutrition and Translational Research in Metabolism at Maastricht University, the Netherlands. It was founded in 2001 by Prof. dr. Chris Evelo aiming at employing bioinformatics approaches in systems biology to integrate...
8 training materials0 events (1 past event)Department of Bioinformatics - BiGCaT, Maastricht University https://www.bigcat.unimaas.nl/ https://tess.elixir-europe.org/content_providers/department-of-bioinformatics-bigcat-maastricht-university The department of Bioinformatics-BiGCaT is part of NUTRIM the school of Nutrition and Translational Research in Metabolism at Maastricht University, the Netherlands. It was founded in 2001 by Prof. dr. Chris Evelo aiming at employing bioinformatics approaches in systems biology to integrate experimental data and data with current knowledge. Integrative Systems Biology is being developed and applied in various research fields. The department has four core research areas; 1) Metabolic diseases, 2) Micronutrients, 3) Toxicity and risk Assessment and 4) Rare diseases. Within these areas different types of data, like transcriptomics, proteomics, metabolomics and (epi)genomics data, are collected , integrated and combined with existing knowledge /system/content_providers/images/000/000/093/original/logo_05_72dpi.gif?1528366508 -
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 -
WikiPathways
WikiPathways is a database of biological pathways maintained by and for the scientific community.
1 training materialWikiPathways https://www.wikipathways.org https://tess.elixir-europe.org/content_providers/wikipathways WikiPathways is a database of biological pathways maintained by and for the scientific community. /system/content_providers/images/000/000/660/original/wikipathways-logo-horizontal.svg?1668072305 -
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