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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
  • healthcare
  • rna seq
  • molecular dynamics
  • microbial community
  • mental health
  • single molecule
  • liquid chromatography
  • high throughput sequencing