Content Providers
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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 -
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 -
ELIXIR-SI eLearning Platform (EeLP)
ELIXIR-SI eLearning Platform (EeLP) is a learning management system (LMS) continuously administered and maintained by ELIXIR Slovenia.
EeLP enables all-in-one-place access to materials, tools and services for any course, tutorial or webinar that is hosted on the platform.
6 training materials0 events (8 past events)ELIXIR-SI eLearning Platform (EeLP) https://elixir.mf.uni-lj.si/ https://tess.elixir-europe.org/content_providers/elixir-si-elearning-platfrom-eelp ELIXIR-SI eLearning Platform (EeLP) is a learning management system (LMS) continuously administered and maintained by ELIXIR Slovenia. EeLP enables all-in-one-place access to materials, tools and services for any course, tutorial or webinar that is hosted on the platform. /system/content_providers/images/000/000/108/original/eelp-logo-with-slogan.jpg?1544007788 -
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 -
EOSC4Cancer
EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via...
1 training material0 events (1 past event)EOSC4Cancer https://eosc4cancer.eu/ https://tess.elixir-europe.org/content_providers/eosc4cancer EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via community-driven analysis environments. EOSC4Cancer’s well curated data sets will be essential input for reproducible and robust analytics and computational methods – including machine learning and artificial intelligence. EOSC4Cancer’s five use cases will cover the patient journey from cancer prevention over diagnosis to treatment, laying the foundation of data trajectories and workflows for future European Cancer Mission projects. /system/content_providers/images/000/000/747/original/Logo-eosc-cancer-RGB-horizontal-STANDARD.png?1711439233