Content Providers
Keywords: Biostatistics or Education or Machine Learning or Virtual environment or modelling
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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://86.50.28.174/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 -
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 -
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 -
University of Ljubljana, Faculty of Medicine
Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences.
University of Ljubljana, Faculty of Medicine https://www.mf.uni-lj.si/en https://tess.elixir-europe.org/content_providers/university-of-ljubljana-faculty-of-medicine Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences. /system/content_providers/images/000/000/104/original/mf-znal.png?1539848321 -
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://86.50.28.174/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