Content Providers
Content provider type: Project
and Keywords: RNA-Seq or HPC or Medicine or Research Infrastructure or Statistical modelling or biomathematics or drug discovery or immunology or infrastructure or interoperability or metabolome or protein prediction or protein sequence
-
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 -
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 -
UNIVERSE-HPC project
UNIVERSE-HPC project is developing and piloting the curriculum and necessary course materials to underpin a professional training programme in RSE and HPC, supported by cohort- and community-building activities, acting as a knowledge integration...
5 training materialsUNIVERSE-HPC project https://excalibur.ac.uk/projects/universe-hpc/ https://tess.elixir-europe.org/content_providers/universe-hpc-project [UNIVERSE-HPC project](https://excalibur.ac.uk/projects/universe-hpc/) is developing and piloting the curriculum and necessary course materials to underpin a professional training programme in RSE and HPC, supported by cohort- and community-building activities, acting as a knowledge integration hub for those with a stake in education and training for RSEs, including other [ExCALIBUR projects](https://excalibur.ac.uk/projects), those extending Carpentries training for HPC and RSE, and existing and future initiatives in this area. The project brings together partners with expertise in training from different areas: Edinburgh (EPCC MSc in HPC and Edinburgh Carpentries), Oxford (SABS R3 CDT and RSE group), Southampton (research software engineering and Carpentries), and Imperial (community building and RSLondon). -
ExCALIBUR
Exascale Computing ALgorithms & Infrastructures Benefiting UK Research (ExCALIBUR) is a UK research programme that aims to deliver the next generation of high-performance simulation software for the highest-priority fields in UK research. It started in October 2019 and...
1 training materialExCALIBUR https://excalibur.ac.uk/ https://tess.elixir-europe.org/content_providers/excalibur [Exascale Computing ALgorithms & Infrastructures Benefiting UK Research](https://excalibur.ac.uk/) (ExCALIBUR) is a UK research programme that aims to deliver the next generation of high-performance simulation software for the highest-priority fields in UK research. It started in October 2019 and will run through until March 2025, redesigning high priority computer codes and algorithms to meet the demands of both advancing technology and UK research. /system/content_providers/images/000/000/664/original/ExCALIBUR_Brand_20Logos_ExCALIBUR_Preview_Negative.jpg?1673340574 -
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://86.50.228.192/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