Inferring the Recent Duplication History of a Gene Cluster

Authors:
Giltae Song;Louxin Zhang;Tomáš Vinař;Webb Miller
Affiliations:
Center for Comparative Genomics and Bioinformatics, 506B Wartik Lab, Penn State University, University Park, USA 16802;Department of Mathematics, National University of Singapore, Singapore 117543;Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia;Center for Comparative Genomics and Bioinformatics, 506B Wartik Lab, Penn State University, University Park, USA 16802
Venue:
RECOMB-CG '09 Proceedings of the International Workshop on Comparative Genomics
Year:
2009

Citing 3
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Abstract

Much important evolutionary activity occurs in gene clusters, where a copy of a gene may be free to evolve new functions. Computational methods to extract evolutionary information from sequence data for such clusters are currently imperfect, in part because accurate sequence data are often lacking in these genomic regions, making the existing methods difficult to apply. We describe a new method for reconstructing the recent evolutionary history of gene clusters. The method's performance is evaluated on simulated data and on actual human gene clusters.