https://github.com/astrazeneca/trim21-bioprotac
Bioinformatics data analyses - Fletcher A. et al., Nature Communications 2023, doi: 10.1038/s41467-023-42546-2
https://github.com/astrazeneca/trim21-bioprotac
Last synced: 3 months ago
JSON representation
Bioinformatics data analyses - Fletcher A. et al., Nature Communications 2023, doi: 10.1038/s41467-023-42546-2
- Host: GitHub
- URL: https://github.com/astrazeneca/trim21-bioprotac
- Owner: AstraZeneca
- License: apache-2.0
- Created: 2023-08-06T22:44:24.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2023-11-12T19:59:16.000Z (over 2 years ago)
- Last Synced: 2025-12-27T06:47:19.676Z (6 months ago)
- Homepage:
- Size: 65.4 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Authors: AUTHORS.md
Awesome Lists containing this project
README

Bioinformatics data analysis code accompanying:
[Fletcher, A., Clift, D., de Vries, E. et al. A TRIM21-based bioPROTAC highlights the therapeutic benefit of HuR degradation. Nat Commun 14, 7093 (2023). https://doi.org/10.1038/s41467-023-42546-2](https://www.nature.com/articles/s41467-023-42546-2)
Software requirements:
- R 3.6.0 with libraries: devtools 2.3.2, tidyverse 1.3.0, yaml 2.2.1, data.table 1.13.2, limma 3.42.2, ggplot2 3.3.2, ggrepel 0.9.1, VennDiagram 1.6.20
- Python 3.6.6
To reproduce the data analyses, the figures and tables in the paper, install the software requirements and run the [scripts](code.md)
Release at time of publication: [](https://zenodo.org/badge/latestdoi/675434986)
Any updates will be managed directly using this GitHub page