Content Providers
Keywords: Containerization or Machine Learning or Training or biomathematics or modelling
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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 -
Bioinformatics and Biomathematics Training Hub
The Bioinformatics and Biomathematics Training Hub (BBTH) is a BBSRC-funded collaborative project to coordinate the development and sharing of training materials and expertise across the UK’s National Institutes of Bioscience (NIB — http://www.nib.ac.uk/) for the increasingly important areas of...
62 training materialsBioinformatics and Biomathematics Training Hub http://www.earlham.ac.uk/bbsrc-bioinformatics-and-biomathematics-training-hub https://tess.elixir-europe.org/content_providers/bioinformatics-and-biomathematics-training-hub The Bioinformatics and Biomathematics Training Hub (BBTH) is a BBSRC-funded collaborative project to coordinate the development and sharing of training materials and expertise across the UK’s National Institutes of Bioscience (NIB — http://www.nib.ac.uk/) for the increasingly important areas of bioinformatics and biomathematics. Guided by our NIB partners, researcher surveys, and interactions with interested bodies such as Elixir-UK, we will work to ensure that best use is made of existing assets and capabilities, that best practice is shared across the NIB, and that redundant effort is minimised going forwards. /system/content_providers/images/000/000/061/original/BBTH_logo.png?1480508618 -
BioExcel
BioExcel is the leading European Centre of Excellence for Computational Biomolecular Research. BioExcel develops some of the most popular open-source applications for modelling and simulations of biomolecular systems along with user-friendly workflows and container solutions. The software stack...
5 events (12 past events)BioExcel http://bioexcel.eu/ https://tess.elixir-europe.org/content_providers/bioexcel BioExcel is the leading European Centre of Excellence for Computational Biomolecular Research. BioExcel develops some of the most popular open-source applications for modelling and simulations of biomolecular systems along with user-friendly workflows and container solutions. The software stack comes with great performance and scalability capabilities for extreme-scale utilization of the world's largest high-performance computing (HPC) and high-throughput computing (HTC) compute resource. /system/content_providers/images/000/000/053/original/BioExcel_logo_payoff.png?1470306206 -
PerMedCoE
PerMedCoE is the HPC/Exascale Centre of Excellence for Personalised Medicine in Europe.
12 training materialsPerMedCoE https://permedcoe.eu https://tess.elixir-europe.org/content_providers/permedcoe PerMedCoE is the HPC/Exascale Centre of Excellence for Personalised Medicine in Europe. /system/content_providers/images/000/000/637/original/LOGO_PerMedCoE.jpg?1636473064 -
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://86.50.228.192/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 -
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