Content Providers
Keywords: AAI or Data spaces or LIPIDMAPS or Machine Learning or Risk assessment or Text Mining or data management
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ELIXIR Norway
6 training materials0 events (22 past events)ELIXIR Norway http://elixir-norway.org https://tess.elixir-europe.org/content_providers/elixir-norway /system/content_providers/images/000/000/087/original/elixir_norway_white_background.png?1530281111 -
CINECA PROJECT
CINECA’s aim is to deliver a federated infrastructure for data discovery and sharing of human genetic and phenotypic data for research that is interoperable across continents. CINECA [Common Infrastructure for National Cohorts in Europe, Canada and Africa] is funded by the European Union Horizon...
17 training materials0 events (3 past events)CINECA PROJECT https://www.cineca-project.eu/ https://tess.elixir-europe.org/content_providers/cineca CINECA’s aim is to deliver a federated infrastructure for data discovery and sharing of human genetic and phenotypic data for research that is interoperable across continents. CINECA [Common Infrastructure for National Cohorts in Europe, Canada and Africa] is funded by the European Union Horizon 2020 programme and the Canadian Institutes of Health Research. /system/content_providers/images/000/000/140/original/CINECA_logo.png?1589875546 -
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 -
LIPID MAPS
LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003....
5 training materials0 events (1 past event)LIPID MAPS https://www.lipidmaps.org/ https://tess.elixir-europe.org/content_providers/lipid-maps-8d2f062e-3051-4752-ba8d-0626399e2e91 LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® Lipidomics Gateway was created in 2003 via an NIH “Glue Grant” to provide access to lipid nomenclature, databases, tools, protocols, standards, tutorials, meetings, publications, and other resources to serve the international lipid research community. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. LIPID MAPS® supports researchers to conduct integrative systems-level analyses of lipidomics in physiology and pathophysiology. /system/content_providers/images/000/000/672/original/LM_logo.jpg?1681981489 -
Novo Nordisk Foundation Center for Protein Research
Novo Nordisk Foundation Center for Protein Research was established in 2007 at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance.
The...
3 training materialsNovo Nordisk Foundation Center for Protein Research http://www.cpr.ku.dk/ https://tess.elixir-europe.org/content_providers/novo-nordisk-foundation-center-for-protein-research Novo Nordisk Foundation Center for Protein Research was established in 2007 at the [Faculty of Health and Medical Sciences](http://healthsciences.ku.dk/), [University of Copenhagen](http://www.ku.dk/), to promote basic and applied discovery research on human proteins of medical relevance. The establishment of the center was made possible by a generous donation of 600 million DKK (~113 MUSD) from the [Novo Nordisk Foundation](http://www.novonordiskfonden.dk/en) as well as through significant contributions from the University of Copenhagen for the renovation of the center facilities. In the beginning of 2015 the Novo Nordisk Foundation donated additional 180 million DKK for the next funding period. /system/content_providers/images/000/000/088/original/cpr.png?1520154812 -
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 -
Fraunhofer FIT
As a partner for digitization, Industry 4.0 and the Internet of Things, the Fraunhofer Institute for Applied Information Technology FIT has been developing IT solutions tailored to people and seamlessly integrated into business processes for almost 40 years. As a driving force of innovation, FIT...
1 training materialFraunhofer FIT https://www.fit.fraunhofer.de/en.html https://tess.elixir-europe.org/content_providers/fraunhofer-fit As a partner for digitization, Industry 4.0 and the Internet of Things, the Fraunhofer Institute for Applied Information Technology FIT has been developing IT solutions tailored to people and seamlessly integrated into business processes for almost 40 years. As a driving force of innovation, FIT not only provides guidance, but also shapes the digital transformation in business, the environment and society. FIT’s interdisciplinary R&D teams are drawn from our staff of around 350 scientists from computer science, social science, business administration, economics, psychology, and engineering. They bring their expertise in designing and implementing information technology systems to bear on problems and needs from different areas of life. Our specific strength is our holistic approach to system development – from concept validation to implementation. We strategically evolve our expertise in IT, specific application fields, and our scientific excellence with the aim to be ahead of the market for our customers from industry and administration. /system/content_providers/images/000/000/661/original/fit.svg?1670846086 -
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