Content Providers
Keywords: Amazon Web Services or Machine Learning or Nanotechnology or Teaching
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NanoCommons
NanoCommons will deliver a sustainable and openly accessible nanoinformatics framework (knowledgebase and integrated computational tools, supported by expert advice, data interpretation and training), for assessment of the risks of NMs, their products and their formulations. NanoCommons combines...
9 training materials0 events (21 past events)NanoCommons https://www.nanocommons.eu/ https://tess.elixir-europe.org/content_providers/nanocommons NanoCommons will deliver a sustainable and openly accessible nanoinformatics framework (knowledgebase and integrated computational tools, supported by expert advice, data interpretation and training), for assessment of the risks of NMs, their products and their formulations. NanoCommons combines Joint Research Activities to implement the nanoinformatics Knowledge Commons, Networking Activities to facilitate engagement with the research community, industry and regulators, and provision of funded Access to the nanoinformatics tools via funded calls for Transnational Access. /system/content_providers/images/000/000/099/original/NanoCommons-Logo-Sphere-Trans-White-circle-512px.png?1650899421 -
eNanoMapper
eNanoMapper developed a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs) based on open standards, ontologies and an interoperable design to enable a more effective, integrated approach to European research in nanotechnology. eNanoMapper supports...
10 training materialseNanoMapper http://enanomapper.net/ https://tess.elixir-europe.org/content_providers/enanomapper eNanoMapper developed a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs) based on open standards, ontologies and an interoperable design to enable a more effective, integrated approach to European research in nanotechnology. eNanoMapper supports the collaborative safety assessment for ENMs by creating a modular, extensible infrastructure for transparent data sharing, data analysis, and the creation of computational toxicology models for ENMs. eNanoMapper was funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 604134. /system/content_providers/images/000/000/092/original/logo.png?1528313779 -
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 -
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