Name
Abstract | ||
|---|---|---|
The log-det distance between two aligned DNA sequences was introduced as a tool for statistically consistent inference of a gene tree under simple nonmixture models of sequence evolution. Here we prove that the log-det distance, coupled with a distance-based tree construction method, also permits consistent inference of species trees under mixture models appropriate to aligned genomic-scale sequences data. Data may include sites from many genetic loci, which evolved on different gene trees due to incomplete lineage sorting on an ultrametric species tree, with different time-reversible substitution processes. The simplicity and speed of distance-based inference suggest log-det-based methods should serve as benchmarks for judging more elaborate and computationally intensive species trees inference methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1137/18M1194134 | SIAM JOURNAL ON APPLIED ALGEBRA AND GEOMETRY |
Keywords | Field | DocType |
distance-based methods, multispecies coalescent, mixture models, general time-reversible model, quadratic forms | Coalescent theory,Gene,Biology,Inference,DNA sequencing,Computational biology,Ultrametric space,Construction method,Genetics,Locus (genetics),Mixture model | Journal |
Volume | Issue | ISSN |
3 | 1 | 2470-6566 |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elizabeth S. Allman | 1 | 60 | 8.93 |
| Colby Long | 2 | 4 | 1.50 |
| John A. Rhodes | 3 | 60 | 8.93 |