Content Providers
Keywords: AAI or Data life-cycle or Machine Learning or Metadata harmonisation or Pathway analysis or Teaching
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EMBL-ABR
EMBL Australia Bioinformatics Resource (EMBL-ABR) is a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia.
EMBL-ABR aims to:- increase Australia’s capacity to collect, integrate, analyse, exploit, share and archive the...
9 training materials0 events (193 past events)EMBL-ABR https://www.embl-abr.org.au/ https://tess.elixir-europe.org/content_providers/embl-abr EMBL Australia Bioinformatics Resource (EMBL-ABR) is a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia. EMBL-ABR aims to: 1. increase Australia’s capacity to collect, integrate, analyse, exploit, share and archive the large heterogeneous data sets now part of modern life sciences research 2. contribute to the development of and provide training in data, tools and platforms to enable Australia’s life science researchers to undertake research in the age of big data 3. showcase Australian research and datasets at an international level 4. enable engagement in international programs that create, deploy and develop best practice approaches to data management, software tools and methods, computational platforms and bioinformatics services. EMBL-ABR is structured as a hub/nodes model, with the Hub located at Melbourne Bioinformatics (formerly VLSCI), University of Melbourne. EMBL-ABR is also currently exploring engagement with the European infrastructure for biological information, ELIXIR, and other relevant international efforts. One of EMBL-ABR Key areas is TRAINING, and as such we are involved in diverse projects relevant for bioinformatics training in Australia, with a current focus on Open Science and Bioinformatics. /system/content_providers/images/000/000/072/original/embl-australia-logo-colour-FIN-e1462860151765.jpg?1488905402 -
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 -
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