Published July 22, 2021 | Version v1.0.1
Software Open

Code for "The 'antiviral state' has shaped the CpG composition of the vertebrate interferome"

Authors/Creators

  • 1. University of Glasgow

Description

Code for the machine learning component of Shaw, Rihn, Mollentze, et al. (2021) "The 'antiviral state' has shaped the CpG composition of the vertebrate interferome".

Notes

v1.0.1: Code updated to retrieve separately-deposited data as needed while running the pipeline.

Files

Nardus/isg_composition-v1.0.1.zip

Files (2.8 MB)

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md5:317ea499bf17284269cc557807ad6aea
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Additional details

Related works

Is identical to
https://github.com/Nardus/isg_composition/tree/v1.0.1 (URL)
Is supplement to
Journal article: 10.1371/journal.pbio.3001352 (DOI)
Is supplemented by
Dataset: 10.5281/zenodo.5035607 (DOI)
Dataset: 10.5525/gla.researchdata.1159 (DOI)

Funding

Wellcome Trust
Mitigating bat viruses: from forecasting spillover to control at the source 217221
UK Research and Innovation
Viral Genomics and Bioinformatics MC_UU_12014/12