Torres Ortiz, Arturo;
Grandjean, Louis;
(2024)
Phylogenetic Survival Analysis.
Methods in Molecular Biology
, 2833
pp. 121-128.
10.1007/978-1-0716-3981-8_12.
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Abstract
Going back in time through a phylogenetic tree makes it possible to evaluate ancestral genomes and assess their potential to acquire key polymorphisms of interest over evolutionary time. Knowledge of this kind may allow for the emergence of key traits to be predicted and pre-empted from currently circulating strains in the future. Here, we present a novel genome-wide survival analysis and use the emergence of drug resistance in Mycobacterium tuberculosis as an example to demonstrate the potential and utility of the technique.
| Type: | Article |
|---|---|
| Title: | Phylogenetic Survival Analysis |
| Location: | United States |
| ISBN-13: | 978-1-0716-3980-1 |
| DOI: | 10.1007/978-1-0716-3981-8_12 |
| Publisher version: | http://dx.doi.org/10.1007/978-1-0716-3981-8_12 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Genome-wide survival analysis; Phylogenetics; Ancestral States; Hazard; Acquisition of drug resistance; Evolutionary time; Traits; Phenotypes; Prediction |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Infection, Immunity and Inflammation Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10194436 |
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