1. Evolutionary Biology
  2. Microbiology and Infectious Disease

A computational method for predicting the most likely evolutionary trajectories in the step-wise accumulation of resistance mutations

  1. Ruth Charlotte Eccleston  Is a corresponding author
  2. Emilia Manko
  3. Susana Campino
  4. Taane G Clark
  5. Nicholas Furnham
  1. London School of Hygiene & Tropical Medicine, United Kingdom
https://doi.org/10.7554/eLife.84756
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  1. Ruth Charlotte Eccleston
  2. Emilia Manko
  3. Susana Campino
  4. Taane G Clark
  5. Nicholas Furnham
(2023)
A computational method for predicting the most likely evolutionary trajectories in the step-wise accumulation of resistance mutations
eLife 12:e84756.
https://doi.org/10.7554/eLife.84756
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  1. Ruth Charlotte Eccleston
  2. Emilia Manko
  3. Susana Campino
  4. Taane G Clark
  5. Nicholas Furnham
(2023)
A computational method for predicting the most likely evolutionary trajectories in the step-wise accumulation of resistance mutations
eLife 12:e84756.
https://doi.org/10.7554/eLife.84756

Share this article

https://doi.org/10.7554/eLife.84756