Please use this identifier to cite or link to this item: https://doi.org/10.1089/cmb.2010.0094
Title: CAGE: Combinatorial analysis of gene-cluster evolution
Authors: Song, G.
Zhang, L. 
Vinar, T.
Miller, W.
Keywords: algorithms
alignment
gene clusters
genomics
phylogenetic trees
Issue Date: 1-Sep-2010
Citation: Song, G., Zhang, L., Vinar, T., Miller, W. (2010-09-01). CAGE: Combinatorial analysis of gene-cluster evolution. Journal of Computational Biology 17 (9) : 1227-1242. ScholarBank@NUS Repository. https://doi.org/10.1089/cmb.2010.0094
Abstract: Much important evolutionary activity occurs in gene clusters, where a copy of a gene may be free to acquire new functions. Current computational methods to extract evolutionary information from sequence data for such clusters are suboptimal, in part because accurate sequence data are often lacking in these genomic regions, making existing methods difficult to apply. We describe a new method for reconstructing the recent evolutionary history of gene clusters, and evaluate its performance on both simulated data and actual human gene clusters. © Copyright 2010, Mary Ann Liebert, Inc.
Source Title: Journal of Computational Biology
URI: http://scholarbank.nus.edu.sg/handle/10635/102962
ISSN: 10665277
DOI: 10.1089/cmb.2010.0094
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