Content Providers
Content provider type: Project
and Keywords: Kinetic modeling or Metabolism or Multiple sequence alignment or Research Infrastructure or Training or Workflows or birmingham or infrastructure or metabolic profiling or metabolome
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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 -
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 -
Jalview
An easy to use interactive platform for creation, visualisation and analysis of multiple sequence alignments linked to 3D structure and phylogenetic trees, in the context of functional annotation and genomic variation.
Recognised as an ELIXIR-UK resource, Jalview development is Wellcome funded...
Jalview https://www.jalview.org https://tess.elixir-europe.org/content_providers/jalview-658bf3af-3cd2-4ae1-a832-18910e04cf57 An easy to use interactive platform for creation, visualisation and analysis of multiple sequence alignments linked to 3D structure and phylogenetic trees, in the context of functional annotation and genomic variation. Recognised as an ELIXIR-UK resource, Jalview development is Wellcome funded and coordinated by the [Barton Group](https://www.compbio.dundee.ac.uk), part of the [School of Life Science's Division of Computational Biology](https://www.dundee.ac.uk/life-sciences/research/computational-biology) at the University of Dundee in Scotland, UK. /system/content_providers/images/000/000/685/original/jalview_logoytype.png?1695106439