A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations

Eccleston, RC, Manko, E, Campino, S, Clark, TG and Furnham, N. 2022. A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.6122329

Eccleston, RC, Manko, E, Campino, S, Clark, TG and Furnham, N. A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations [Internet]. Zenodo; 2022. Available from: https://doi.org/10.5281/zenodo.6122329

Eccleston, RC, Manko, E, Campino, S, Clark, TG and Furnham, N (2022). A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6122329

Methods

Data capture method	Unknown
Date (Date published in a 3rd party system)	17 February 2022
Language(s) of written materials	English

Data Creators	Eccleston, RC, Manko, E, Campino, S, Clark, TG and Furnham, N
LSHTM Faculty/Department	Faculty of Infectious and Tropical Diseases > Department of Infection Biology
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom