https://github.com/sysbiochalmers/epo_gfp
Transcriptome analysis of EPO- and GFP-producing HEK293 Cell-lines
https://github.com/sysbiochalmers/epo_gfp
Last synced: over 1 year ago
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Transcriptome analysis of EPO- and GFP-producing HEK293 Cell-lines
- Host: GitHub
- URL: https://github.com/sysbiochalmers/epo_gfp
- Owner: SysBioChalmers
- License: mit
- Created: 2020-08-27T07:18:43.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-05-05T07:57:47.000Z (about 4 years ago)
- Last Synced: 2025-01-30T22:51:19.644Z (over 1 year ago)
- Language: R
- Homepage:
- Size: 188 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Transcriptome analysis of EPO- and GFP-producing HEK293 Cell-lines
Relative scripts and files to manuscript needed to reproduce the results are available at: [](https://zenodo.org/badge/latestdoi/290705446)
Fastq files for transcriptomics analysis:
## Repository organisation
scripts: The folder contains scripts for differential expression, gene set analysis and correlation analysis.
data: The folder contains raw counts, TPM and inputs for gene set analysis.
Note that ro reproduce all results you will first need to retrieve the larger data files from the associated Zenodo repository prior to re-running the analyses. This is described in further detail by the README in the data directory.
results: The folder contains processed data and results disscussed in the paper.