📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations. (2023)

First Author: Eccleston RC

Attributed to: Understanding the transmission of tuberculosis using Mycobacterium tuberculosis sequence data funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.7554/elife.84756

PubMed Identifier: 38132182

Publication URI: http://europepmc.org/abstract/MED/38132182

Type: Journal Article/Review

Volume: 12

Parent Publication: eLife

ISSN: 2050-084X