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Bioinformatics Advance Access originally published online on July 24, 2009
Bioinformatics 2009 25(19):2611-2612; doi:10.1093/bioinformatics/btp454
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© 2009 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees

Bongshin Lee *, Lev Nachmanson , George Robertson , Jonathan M. Carlson and David Heckerman

Microsoft Research, One Microsoft Way, Redmond, WA 98052, USA

*To whom correspondence should be addressed.


  Abstract

Summary: Evolutionary biologists are often interested in finding correlations among biological traits across a number of species, as such correlations may lead to testable hypotheses about the underlying function. Because some species are more closely related than others, computing and visualizing these correlations must be done in the context of the evolutionary tree that relates species. In this note, we introduce PhyloDet (short for PhyloDetective), an evolutionary tree visualization tool that enables biologists to visualize multiple traits mapped to the tree.

Availability: http://research.microsoft.com/cue/phylodet/

Contact: bongshin{at}microsoft.com.

Associate Editor: Martin Bishop

Received on May 27, 2009; revised on July 14, 2009; accepted on July 15, 2009

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