Content Providers
Keywords: Biostatistics or Cancer or Cloud Computing or Data Policies or Machine Learning or Metabolism or Metagenomics
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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 -
Barcelona Supercomputing Center (BSC)
BSC is at the service of the international scientific communιty and of industry that requires HPC resources. Our multidisciplinary research team and our computational facilities –including MareNostrum– make BSC an international centre of excellence in e-Science. Since its establishment in 2005,...
8 training materials0 events (9 past events)Barcelona Supercomputing Center (BSC) http://www.bsc.es https://tess.elixir-europe.org/content_providers/barcelona-supercomputing-center-bsc BSC is at the service of the international scientific communιty and of industry that requires HPC resources. Our multidisciplinary research team and our computational facilities –including MareNostrum– make BSC an international centre of excellence in e-Science. Since its establishment in 2005, BSC has developed an active role in fostering HPC in Spain and Europe as an essential tool for international competitiveness in science and engineering. The centre manages the Red Española de Supercomputación (RES), and is a hosting member of the Partnership for Advanced Computing in Europe (PRACE) initiative. We actively participate in the main European HPC initiatives, in close cooperation with other European supercomputing centres. With a total staff of more than 500 R&D experts and professionals, BSC has been successful in attracting talent, and our research focuses on four fields: Computer Sciences, Life Sciences, Earth Sciences and Computer Applications in Science and Engineering. /system/content_providers/images/000/000/636/original/BSC-blue-large.jpg?1632400405 -
COG-Train
COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2 genomics. It aims to facilitate an increase in global genome sequencing and analysis capacity, reduce sequencing inequality and enhance pathogen surveillance.
The programme’s training courses and...
4 training materialsCOG-Train https://www.cogconsortium.uk/priority-areas/training/ https://tess.elixir-europe.org/content_providers/cog-train COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2 genomics. It aims to facilitate an increase in global genome sequencing and analysis capacity, reduce sequencing inequality and enhance pathogen surveillance. The programme’s training courses and development are built around our core concept of partnering with international researchers, public health experts and surveillance networks and providing open-access FREE training for all. COG-Train is funded by Wellcome Trust and the Foreign, Commonwealth & Development Office and led jointly by COVID-19 Genomics UK (COG-UK) consortium and Wellcome Connecting Science (WCS). Whole Viral Genome sequencing is an essential tool to identify and track the emergence and spread of SARS-CoV-2 variants as the COVID-19 pandemic progresses. Sequence data informs public health interventions and the further development of diagnostics, therapeutics and vaccines. There is inequity of access to pathogen sequencing worldwide, and COG-Train is committed to contributing towards efforts that close this gap. By building global partnerships with sequencing networks and scientists around the world, we hope to build a truly inclusive training programme that shares the many challenges faced in sequencing efforts, as well as highlighting the numerous success stories, and facilitating knowledge sharing. Outputs include a series of massive online, open-access courses on all aspects of SARS-CoV-2 sequencing based on WCS’s successful use of the FutureLearn platform, as well as week-long intensive virtual training courses, short expert workshops and concurrent distributed Classrooms, the latter of which utilises blended training. The distributed classroom model will be used to increase reach and impact of the learning materials, with training being delivered simultaneously in multiple classrooms across many countries. The training programme includes train-the-trainer components to help further build capacity in-country, rather than rely on a one-hit train and leave model. The COG-Train educational programme builds on the COG-UK values of data sharing, open collaboration, value for money, inclusivity and the prioritisation of public health impact. /system/content_providers/images/000/000/644/original/COG-Train_Logo.png?1657104279 -
NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology
NORBIS is the Norwegian research school in bioinformatics, biostatistics and systems biology, and was founded in 2015. The school is a collaboration between eight Norwegian universities, and aims to build and unite competences at a national level. We develop new courses, build educational tracks...
0 events (1 past event)NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology https://norbis.w.uib.no https://tess.elixir-europe.org/content_providers/norbis-the-norwegian-national-research-school-in-bioinformatics-biostatistics-and-systems-biology NORBIS is the Norwegian research school in bioinformatics, biostatistics and systems biology, and was founded in 2015. The school is a collaboration between eight Norwegian universities, and aims to build and unite competences at a national level. We develop new courses, build educational tracks and promote a new scientific community for our students. It is our aim that our graduate students will contribute strongly to methods development within the fields covered by the school, and that they will drive and contribute to the most important scientific projects in molecular life sciences in Norway and internationally. The NORBIS research school provides a high quality PhD education through its network of excellent research groups in Norway. We aim to educate method-oriented researchers, who in the next round will develop, teach, train, drive, and support use of bioinformatics, statistical genomics and computational biology within the wider area of molecular life science. /system/content_providers/images/000/000/098/original/400dpiLogo.jpg?1535006729 -
Cloud-SPAN
Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project:
- Prenomics
- Genomics
- Create your own AWS...1 training materialCloud-SPAN https://cloud-span.york.ac.uk/ https://tess.elixir-europe.org/content_providers/cloud-span Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project: - Prenomics - Genomics - Create your own AWS instance - Metagenomics - Statistically useful experimental design - Automation & pipelines (WIP) - Core R (WIP) /system/content_providers/images/000/000/658/original/cloud-span-logo-square.png?1666085149 -
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 -
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