Content Providers
Keywords: EXCELERATE or Life Sciences or Machine Learning or Synthetic biology or Translational research
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VIB Conferences
VIB is a life sciences research institute in Flanders, Belgium. More than 1470 scientists from over 66 countries perform basic research into the molecular foundations of life. The institute offers a program of international VIB conferences in various VIB research fields. From day one VIB has...
1 training material0 events (19 past events)VIB Conferences http://www.vibconferences.be/ https://tess.elixir-europe.org/content_providers/vib-conferences VIB is a life sciences research institute in Flanders, Belgium. More than 1470 scientists from over 66 countries perform basic research into the molecular foundations of life. The institute offers a program of international VIB conferences in various VIB research fields. From day one VIB has supported and sponsored scientific conferences to help VIB scientists network with their colleagues. In 2014 the VIB Conference Series was launched to further expand these activities and support them with a dedicated professional team. The aims of the conference series are: to showcase cutting edge research and exciting technological solutions presented by leading scientist in the life sciences fields to offer junior researchers the opportunity to present their work during poster sessions and learn from the world’s experts during the Meet the Expert sessions to establish opportunities for collaborations between scientists during an accompanying social program including lunches, conference dinners and receptions /system/content_providers/images/000/000/054/original/vib_conferences_series_rgb_pos.png?1538645378 -
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 -
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 -
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