Organizer: University of Cambridge

Host institution: University of Cambridge Bioinformatics Training

Start: Wednesday, 28 April 2021 @ 08:30

End: Wednesday, 28 April 2021 @ 16:30

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:

PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

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 200k downloads on Bioconda, and on average 6 new citations per week, Snakemake is a widely used and accepted standard for reproducible data science that has powered numerous high impact publications.

This 1-day workshop will teach how to use Snakemake for reproducible data analysis.

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 (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/snakemake-workshop-online-live-training PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. 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 200k downloads on Bioconda, and on average 6 new citations per week, Snakemake is a widely used and accepted standard for reproducible data science that has powered numerous high impact publications. This 1-day workshop will teach how to use Snakemake for reproducible data analysis. 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=3824574&course-title=Snakemake%20workshop).'' 2021-04-28 08:30:00 UTC 2021-04-28 16:30:00 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