3 content providers found

Keywords: genomics  or Text Mining 


  • PerMedCoE

    PerMedCoE is the HPC/Exascale Centre of Excellence for Personalised Medicine in Europe.

    10 training materials
    PerMedCoE 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
  • Novo Nordisk Foundation Center for Protein Research

    Novo Nordisk Foundation Center for Protein Research was established in 2007 at the [Faculty of...

    3 training materials
    Novo Nordisk Foundation Center for Protein Research https://tess.elixir-europe.org/content_providers/novo-nordisk-foundation-center-for-protein-research Novo Nordisk Foundation Center for Protein Research was established in 2007 at the [Faculty of Health and Medical Sciences](http://healthsciences.ku.dk/), [University of Copenhagen](http://www.ku.dk/), to promote basic and applied discovery research on human proteins of medical relevance. The establishment of the center was made possible by a generous donation of 600 million DKK (~113 MUSD) from the [Novo Nordisk Foundation](http://www.novonordiskfonden.dk/en) as well as through significant contributions from the University of Copenhagen for the renovation of the center facilities. In the beginning of 2015 the Novo Nordisk Foundation donated additional 180 million DKK for the next funding period. /system/content_providers/images/000/000/088/original/cpr.png?1520154812
  • COG-Train

    COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2...

    3 training materials
    COG-Train https://tess.elixir-europe.org/content_providers/cog-train COG-Train is an international educational initiative providing open-access learning in SARS-CoV-2 genomics. It aims to facilitate an increase in global genome sequencing and analysis capacity, reduce sequencing inequality and enhance pathogen surveillance. The programme’s training courses and development are built around our core concept of partnering with international researchers, public health experts and surveillance networks and providing open-access FREE training for all. COG-Train is funded by Wellcome Trust and the Foreign, Commonwealth & Development Office and led jointly by COVID-19 Genomics UK (COG-UK) consortium and Wellcome Connecting Science (WCS). Whole Viral Genome sequencing is an essential tool to identify and track the emergence and spread of SARS-CoV-2 variants as the COVID-19 pandemic progresses. Sequence data informs public health interventions and the further development of diagnostics, therapeutics and vaccines. There is inequity of access to pathogen sequencing worldwide, and COG-Train is committed to contributing towards efforts that close this gap. By building global partnerships with sequencing networks and scientists around the world, we hope to build a truly inclusive training programme that shares the many challenges faced in sequencing efforts, as well as highlighting the numerous success stories, and facilitating knowledge sharing. Outputs include a series of massive online, open-access courses on all aspects of SARS-CoV-2 sequencing based on WCS’s successful use of the FutureLearn platform, as well as week-long intensive virtual training courses, short expert workshops and concurrent distributed Classrooms, the latter of which utilises blended training. The distributed classroom model will be used to increase reach and impact of the learning materials, with training being delivered simultaneously in multiple classrooms across many countries. The training programme includes train-the-trainer components to help further build capacity in-country, rather than rely on a one-hit train and leave model. The COG-Train educational programme builds on the COG-UK values of data sharing, open collaboration, value for money, inclusivity and the prioritisation of public health impact. /system/content_providers/images/000/000/644/original/COG-Train_Logo.png?1657104279