Content Providers
Keywords: AAI or Data life-cycle or Data spaces or Machine Learning or Metadata harmonisation 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 -
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 -
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