Lost in space? Generalising subtree prune and regraft to spaces of phylogenetic networks
- Submitting institution
-
University of Durham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 109308
- Type
- D - Journal article
- DOI
-
10.1016/j.jtbi.2017.03.032
- Title of journal
- Journal of Theoretical Biology
- Article number
- -
- First page
- 1
- Volume
- 423
- Issue
- -
- ISSN
- 00225193
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
https://doi.org/10.1016/j.jtbi.2017.03.032
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
B - Algorithms and Complexity
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Although mostly picked up by others working in mathematical or algorithmic phylogenetics so far, the techniques developed in this paper have also begun to be used to interpret biological data directly, e.g. as cited in “Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses”, Nicola F. Müller, Ugnė Stolz, Gytis Dudas, Tanja Stadler, Timothy Vaughan
Proceedings of the National Academy of Sciences Jul 2020, 117 (29) 1710417111; DOI: 10.1073/pnas.1918304117
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -