Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-04744-2_10
Title: Inferring the recent duplication history of a gene cluster
Authors: Song, G.
Zhang, L. 
Vinař, T.
Miller, W.
Issue Date: 2009
Citation: Song, G.,Zhang, L.,Vinař, T.,Miller, W. (2009). Inferring the recent duplication history of a gene cluster. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5817 LNBI : 111-125. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-04744-2_10
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. © 2009 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/104577
ISBN: 3642047432
ISSN: 03029743
DOI: 10.1007/978-3-642-04744-2_10
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