Organizer: University of Cambridge

Host institution: University of Cambridge Bioinformatics Training

Start: Monday, 06 January 2020 @ 09:30

End: Tuesday, 07 January 2020 @ 17:00

Venue: Craik-Marshall Building

City: Cambridge

Country: United Kingdom

Postcode: CB2 3AR

Scientific topic: Bioinformatics

Target audience:
  • Graduate students
  • Postdocs and Staff members from the University of Cambridge
  • Institutions and other external Institutions or individuals
Description:

Data analyses usually entail the application of many command line tools or scripts to transform, filter, aggregate or plot data and results. With ever increasing amounts of data being collected in science, reproducible and scalable automatic workflow management becomes increasingly important.

The Snakemake workflow management system is a tool to create reproducible and scalable data analyses. Workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments, without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment.

With over 100k downloads on Bioconda, Snakemake is a widely used and accepted standard for reproducible data science that has powered numerous high impact publications.

This 2-day workshop with, at the first day, teach how to use Snakemake for reproducible data analysis.
On the second day, we will further discuss advanced topics and everybody is welcome to apply the obtained knowledge for his or her own analysis project while getting help from the organizers.

The training room is located on the first floor and there is currently no wheelchair or level access available to this level.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.''

Event type:
  • Workshops and courses

Keywords: HDRUK

Snakemake workshop https://tess.elixir-europe.org/events/snakemake-workshop Data analyses usually entail the application of many command line tools or scripts to transform, filter, aggregate or plot data and results. With ever increasing amounts of data being collected in science, reproducible and scalable automatic workflow management becomes increasingly important. The [Snakemake](https://snakemake.readthedocs.io/en/stable/) workflow management system is a tool to create reproducible and scalable data analyses. Workflows are described via a human readable, Python based language. They can be seamlessly scaled to server, cluster, grid and cloud environments, without the need to modify the workflow definition. Finally, Snakemake workflows can entail a description of required software, which will be automatically deployed to any execution environment. With over 100k downloads on Bioconda, Snakemake is a widely used and accepted standard for reproducible data science that has powered numerous high impact publications. This 2-day workshop with, at the first day, teach how to use Snakemake for reproducible data analysis. On the second day, we will further discuss advanced topics and everybody is welcome to apply the obtained knowledge for his or her own analysis project while getting help from the organizers. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to Book or register Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3108957&course-title=Snakemake%20workshop).'' 2020-01-06 09:30:00 UTC 2020-01-07 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK