Content Providers
Keywords: AAI or AI or Computing or Data life-cycle or Engineering or Machine Learning or Risk assessment
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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 -
Flemish Supercomputer Centre
The Flemish Supercomputer Centre (VSC) is a virtual centre making supercomputer infrastructure available for both the academic and industrial world. This centre is managed by the Research Foundation - Flanders (FWO) in partnership with the five Flemish university associations.
0 events (66 past events)Flemish Supercomputer Centre https://www.vscentrum.be https://tess.elixir-europe.org/content_providers/flemish-supercomputer-centre The Flemish Supercomputer Centre (VSC) is a virtual centre making supercomputer infrastructure available for both the academic and industrial world. This centre is managed by the Research Foundation - Flanders (FWO) in partnership with the five Flemish university associations. /system/content_providers/images/000/000/067/original/logo_VSC_CMYK-1.png?1487672198 -
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 -
UCL Engineering
Our research is shaping the future of engineering - and of society. Find out more about the impact we make.
0 events (2 past events)UCL Engineering https://bit.ly/3OzH0Vu https://tess.elixir-europe.org/content_providers/ucl-engineering Our research is shaping the future of engineering - and of society. Find out more about the impact we make. /system/content_providers/images/000/000/646/original/UCL_logo.png?1658853660 -
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