Published March 13, 2018 | Version v1

Selection-driven cost-efficiency optimisation of transcripts modulates gene evolutionary rate in bacteria

  • 1. University of Oxford

Description

This submission contains a compressed archive of tab delimited text files. Each file contains the per gene estimates of Sc and St (obtained using CodonMuSe) for one of 1320 bacterial species studied in the journal article of the same name. The files are named according to the species name. Gene names are provided in column 1.

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Additional details

Funding

European Commission
PHOTONET-C4 - Characterising the Gene Regulatory Networks Governing Photosynthesis: From Basic Understanding to Targeted Engineering 637765