Content Providers
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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 -
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 -
Seqera Labs
Founded by the creators of Nextflow, Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem.
We organize training events for your team or organization. These are intended for...
0 events (1 past event)Seqera Labs http://www.seqera.io https://tess.elixir-europe.org/content_providers/seqera-labs Founded by the creators of [Nextflow](http://www.nextflow.io), Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem. We organize training events for your team or organization. These are intended for anyone who wishes to learn about the technology, starting from basic through to advanced concepts. Our most popular intensive two-day course includes topics on containerization, cloud deployment, Git integration and best practices for reproducibility. /system/content_providers/images/000/000/111/original/Seqera_Labs_-_grey.png?1553771707 -
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 -
University of Ljubljana, Faculty of Medicine
Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences.
University of Ljubljana, Faculty of Medicine https://www.mf.uni-lj.si/en https://tess.elixir-europe.org/content_providers/university-of-ljubljana-faculty-of-medicine Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences. /system/content_providers/images/000/000/104/original/mf-znal.png?1539848321 -
Workflow4metabolomics
In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing,...
Workflow4metabolomics https://workflow4metabolomics.org https://tess.elixir-europe.org/content_providers/workflow4metaolomics In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing, normalization, quality control, statistical analysis (Univariate, Multivariate PLS/OPLS) and annotation steps. Those modular and extensible workflows are composed with existing components (XCMS and CAMERA packages, etc.) but also a whole suite of complementary homemade tools. This implementation is accessible through a web interface, which guarantees the parameters completeness. The advanced features of Galaxy have made possible the integration of components from different sources and of different types. Thus, an extensible Virtual Research Environment (VRE) is offered to metabolomics communities (platforms, end users, etc.), and enables preconfigured workflows sharing for new users, but also experts in the field. /system/content_providers/images/000/000/659/original/17082156.png?1667905557