Determining phylogenetic networks from inter-taxa distances.
- Submitting institution
-
University of Durham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 100373
- Type
- D - Journal article
- DOI
-
10.1007/s00285-015-0950-8
- Title of journal
- Journal of Mathematical Biology
- Article number
- -
- First page
- 283
- Volume
- 73
- Issue
- 2
- ISSN
- 03036812
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://doi.org/10.1007/s00285-015-0950-8
- 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
-
1
- Research group(s)
-
B - Algorithms and Complexity
- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is becoming a standard reference, as can be seen by its citation in two recent text books written by leaders in the field of phylogenetics: “Phylogeny: discrete and random processes in evolution” (M. Steel - 2016 – SIAM) and “Computational phylogenetics: an introduction to designing methods for phylogeny estimation” (T. Warnow – 2017 - CUP).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -