Content Providers
Keywords: Data sharing or Biostatistics or MOOC or Machine Learning or Metabolism or Metadata harmonisation or Training
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Glittr.org
Glittr (https://glittr.org) is a web application that helps you find and compare bioinformatics training materials on GitHub and GitLab.
621 training materialsGlittr.org https://glittr.org https://tess.elixir-europe.org/content_providers/glittr-org Glittr (https://glittr.org) is a web application that helps you find and compare bioinformatics training materials on GitHub and GitLab. /system/content_providers/images/000/000/692/original/logo-with-domain.png?1698843802 -
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 -
The Center for Professional Innovation and Education
CfPIE is a leading provider of quality training for the life sciences industry. For nearly 15 years, the world’s biggest brands and companies in the pharmaceutical, biotechnology, medical device, and skin/cosmetics markets have relied on our on-site and classroom courses.
We are dedicated to...
0 events (7 past events)The Center for Professional Innovation and Education https://www.cfpie.com https://tess.elixir-europe.org/content_providers/the-center-for-professional-education-and-innovation CfPIE is a leading provider of quality training for the life sciences industry. For nearly 15 years, the world’s biggest brands and companies in the pharmaceutical, biotechnology, medical device, and skin/cosmetics markets have relied on our on-site and classroom courses. We are dedicated to helping companies improve their performance in various business functions, including regulatory, product development, go-to-market, compliance, and more. We are also committed to helping individuals at these companies grow their careers and improve their knowledge bases. /system/content_providers/images/000/000/079/original/CfPIE_Logo_230x70.jpg?1501710748 -
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 -
Open Science MOOC
Open Science MOOC is a mission-driven project to help make ‘Open’ the default setting for all global research. We want to help create a welcoming and supporting community, with good tools, teachers, and role-models, and built upon a solid values-based foundation of freedom and equitable access to...
1 training materialOpen Science MOOC https://opensciencemooc.eu/ https://tess.elixir-europe.org/content_providers/open-science-mooc Open Science MOOC is a mission-driven project to help make ‘Open’ the default setting for all global research. We want to help create a welcoming and supporting community, with good tools, teachers, and role-models, and built upon a solid values-based foundation of freedom and equitable access to research. /system/content_providers/images/000/000/101/original/31343113?1536821365 -
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