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An improved algorithm for inferring mutational parameters from bar-seq evolution experiments.

Fangfei LiAditya MahadevanGavin Sherlock
Published in: BMC genomics (2023)
Our new algorithm is particularly suited to inference of mutational parameters when read depth is low. We have made Python code for our serial dilution evolution simulations, as well as both the old and new inference methods, available on GitHub ( https://github.com/FangfeiLi05/FitMut2 ), in the hope that it can find broader use by the microbial evolution community.
Keyphrases
  • single cell
  • machine learning
  • deep learning
  • mental health
  • microbial community
  • rna seq
  • genome wide
  • single molecule
  • gene expression
  • mass spectrometry
  • dna methylation
  • gas chromatography