Register training material
2 materials found

Tools: DataDiscovery  or V-pipe 


How to use V-pipe (SARS-CoV-2 data)

How to use V-pipe bioinformatics virus NGS Pipeline - (specifically for SARS-CoV-2 data)

Scientific topics: Workflows, Genetic variation, Virology

Operations: Read pre-processing, Alignment, Variant calling

Keywords: coronavirus, NGS bioinformatics, Variant-calling

Resource type: Computer Software, workflow

How to use V-pipe (SARS-CoV-2 data) https://tess.elixir-europe.org/materials/how-to-use-v-pipe-sars-cov-2-data How to use V-pipe bioinformatics virus NGS Pipeline - (specifically for SARS-CoV-2 data) Workflows Genetic variation Virology coronavirus, NGS bioinformatics, Variant-calling bioinformaticians Biologists, Genomicists, Computer Scientists
WheatIS DataDiscovery webinar

The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is...

Scientific topics: Data management

Keywords: wheat, information system, data discovery

Resource type: Webinar, Slides, Video

WheatIS DataDiscovery webinar https://tess.elixir-europe.org/materials/wheatis-datadiscovery-webinar The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is endorsed by the [Wheat Initiative](https://www.wheatinitiative.org/). The [WheatIS DataDiscovery tool](https://urgi.versailles.inra.fr/wheatis/) allows to search data in all the wheat resources around the world. This Webinar described how to use the tool, what data are available, how to join, etc. The replay is available on [Youtube](https://youtu.be/FoVXBhO8arY). Taner Sen Data management wheat, information system, data discovery Researchers Scientists