Article added to library!
Pubchase is a service of - free, open access, crowdsourced protocols repository. Explore protocols.
Sign in
Reset password
or connect with
By signing in you are agreeing to our
Terms Of Service and Privacy Policy
Apr 12, 2015
Bioinformatics (Oxford, England)
MOTIVATION: The accurate inference of gene trees is a necessary step in many evolutionary studies. Although the problem of accurate gene tree inference has received considerable attention, most existing methods are only applicable to gene families unaffected by horizontal gene transfer. As a result, the accurate inference of gene trees affected by horizontal gene transfer remains a largely unaddressed problem. RESULTS: In this study, we introduce a new and highly effective method for gene tree error correction in the presence of horizontal gene transfer. Our method efficiently models horizontal gene transfers, gene duplications and losses, and uses a statistical hypothesis testing framework [Shimodaira-Hasegawa (SH) test] to balance sequence likelihood with topological information from a known species tree. Using a thorough simulation study, we show that existing phylogenetic methods yield inaccurate gene trees when applied to horizontally transferred gene families and that our method dramatically improves gene tree accuracy. We apply our method to a dataset of 11 cyanobacterial species and demonstrate the large impact of gene tree accuracy on downstream evolutionary analyses. AVAILABILITY AND IMPLEMENTATION: An implementation of our method is available at CONTACT: : or SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.

Downloading PDF to your library...

Uploading PDF...

PDF uploading

Delete tag:

The link you entered does not seem to be valid

Please make sure the link points to contains a valid shared_access_token