Content Providers
Keywords: Biostatistics or Machine Learning or Synthetic biology or Virtual environment or micronutrition
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OpenRiskNet
The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials.
OpenRiskNet is
* a virtual research environment for...0 events (10 past events)OpenRiskNet https://openrisknet.org/ https://tess.elixir-europe.org/content_providers/openrisknet The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials. OpenRiskNet is * a virtual research environment for predictive toxicology and chemical and nanomaterial risk assessment, * harmonising access to data and facilitating interoperability of software, * easily deployable to single computers, public and in-house cloud solutions, * addressing the needs of industry and academic researchers, risk assessors, regulators and informed public. OpenRiskNet (Grant Agreement 731075) is a 3-years project funded by the European Commission within the Horizon2020 Programme /system/content_providers/images/000/000/097/original/ORN-Web_Logo3.png?1533933310 -
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 -
NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology
NORBIS is the Norwegian research school in bioinformatics, biostatistics and systems biology, and was founded in 2015. The school is a collaboration between eight Norwegian universities, and aims to build and unite competences at a national level. We develop new courses, build educational tracks...
0 events (1 past event)NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology https://norbis.w.uib.no https://tess.elixir-europe.org/content_providers/norbis-the-norwegian-national-research-school-in-bioinformatics-biostatistics-and-systems-biology NORBIS is the Norwegian research school in bioinformatics, biostatistics and systems biology, and was founded in 2015. The school is a collaboration between eight Norwegian universities, and aims to build and unite competences at a national level. We develop new courses, build educational tracks and promote a new scientific community for our students. It is our aim that our graduate students will contribute strongly to methods development within the fields covered by the school, and that they will drive and contribute to the most important scientific projects in molecular life sciences in Norway and internationally. The NORBIS research school provides a high quality PhD education through its network of excellent research groups in Norway. We aim to educate method-oriented researchers, who in the next round will develop, teach, train, drive, and support use of bioinformatics, statistical genomics and computational biology within the wider area of molecular life science. /system/content_providers/images/000/000/098/original/400dpiLogo.jpg?1535006729 -
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