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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

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Bioinformatics data analyses - Fletcher A. et al., Nature Communications 2023, doi: 10.1038/s41467-023-42546-2

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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: [![DOI](https://zenodo.org/badge/675434986.svg)](https://zenodo.org/badge/latestdoi/675434986)
Any updates will be managed directly using this GitHub page