https://github.com/cloud-span/genomics03-using-the-command-line
Using the Command Line Interface
https://github.com/cloud-span/genomics03-using-the-command-line
Science Score: 23.0%
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Keywords
command-line
shell
shell-scripts
Last synced: 5 months ago
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Using the Command Line Interface
Basic Info
- Host: GitHub
- Owner: Cloud-SPAN
- License: other
- Language: Python
- Default Branch: gh-pages
- Homepage: https://Cloud-SPAN.github.io/genomics03-using-the-command-line
- Size: 50.8 MB
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- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
command-line
shell
shell-scripts
Created over 4 years ago
· Last pushed over 4 years ago
https://github.com/Cloud-SPAN/genomics03-using-the-command-line/blob/gh-pages/
[](https://www.repostatus.org/#active) [](https://doi.org/10.5281/zenodo.5583050) # Genomics Session 2. Using the command line Second session of the Cloud-SPANGenomics course. Cloud-SPAN is a collaboration between the [Department of Biology, University of York](https://www.york.ac.uk/biology/) and [The Software Sustainability Institute](https://www.software.ac.uk/) funded by the UKRI innovation scholars award (Project Reference: [MR/V038680/1](https://www.google.com/url?q=https%3A%2F%2Fgtr.ukri.org%2Fprojects%3Fref%3DMR%252FV038680%252F1&sa=D&sntz=1&usg=AFQjCNF0nsozFp-1kvcp0Dgjks6kY8CiCQ)) which trains researchers, and the research software engineers that support them, to run specialised analyses on cloud-based high-performance computing infrastructure The course is based on the Data Carpentrys[Genomics Workshop](https://datacarpentry.org/genomics-workshop), streamlined and extended to serve as the foundation course for the Cloud-SPAN advanced modules.The edited material is not endorsed by[Data Carpentry](https://datacarpentry.org/)orthe [Carpentries](https://carpentries.org/)in general.
Owner
- Name: Cloud-SPAN
- Login: Cloud-SPAN
- Kind: organization
- Email: cloud-span-project@york.ac.uk
- Website: http://cloud-span.york.ac.uk/
- Repositories: 24
- Profile: https://github.com/Cloud-SPAN
Cloud-based High Performance Computing for SPecialised ANalyses on environmental 'omics
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