4.7 Article

Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method

出版社

IEEE COMPUTER SOC
DOI: 10.1109/TCBB.2014.2361685

关键词

Phylogenetic inference; incomplete lineage sorting; multispecies coalescent; distance methods; sample complexity; molecular clock

资金

  1. US NSF [CCF-1218189, DMS-1248176, DMS-1149312]
  2. Alfred P. Sloan Research Fellowship
  3. Direct For Mathematical & Physical Scien
  4. Division Of Mathematical Sciences [1149312] Funding Source: National Science Foundation

向作者/读者索取更多资源

We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full data-requirement analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel reconstruction algorithm that provably improves over all previous methods in a regime of interest.

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