Statistics Papers

Document Type

Journal Article

Date of this Version

1-2010

Publication Source

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volume

7

Issue

1

Start Page

166

Last Page

171

DOI

10.1109/TCBB.2008.66

Abstract

We introduce a simple computationally efficient algorithm for reconstructing phylogenies from multiple gene trees in the presence of incomplete lineage sorting, that is, when the topology of the gene trees may differ from that of the species tree. We show that our technique is statistically consistent under standard stochastic assumptions, that is, it returns the correct tree given sufficiently many unlinked loci. We also show that it can tolerate moderate estimation errors.

Keywords

bioinformatics, estimation theory, genetics, stochastic processes, estimation errors, incomplete lineage sorting, multiple gene trees, multiple loci, phylogeny estimation, stochastic assumptions, biology and genetics, incomplete lineage sorting, probability and statistics, coalescent process, phylogenetics, population genetics, statistical consistency, topological concordance, algorithms, animals, chromosome mapping, computer simulation, evolution, humans, linkage, disequilibrium, models

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Date Posted: 27 November 2017

This document has been peer reviewed.