On joint subtree distributions under two evolutionary models
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182620062
- Type
- D - Journal article
- DOI
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10.1016/j.tpb.2015.11.004
- Title of journal
- Theoretical Population Biology
- Article number
- -
- First page
- 13
- Volume
- 108
- Issue
- -
- ISSN
- 0040-5809
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
-
- 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)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In biology and epidemiology, hypotheses about evolutionary processes are commonly tested by comparing empirical shape indices with those predicted by neutral models. Our results provide an efficient dynamic programming approach to computing the joint distributions of two important subtree indices. This has motivated several studies, including one on differing epidemiology of tropical and seasonal flu (Systematic Biology, 67:113-126, 2018). Furthermore, it led to a BBSRC PhD studentship at the UEA group, and ongoing visits and collaboration between the UEA and Singapore groups supported by a Singapore Ministry of Education Academic Research Fund (R-155-000-188-114).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -