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Bioinformatics Advance Access originally published online on May 6, 2004
Bioinformatics 2004 20(16):2867-2868; doi:10.1093/bioinformatics/bth303
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Bioinformatics vol. 20 issue 16 © Oxford University Press 2004; all rights reserved.

Applications Note

SWAPSC: sliding window analysis procedure to detect selective constraints

Mario A. Fares

Department of Biology, National University of Ireland, Maynooth, Co. Kildare, Ireland

Received on April 15, 2004; revised on April 21, 2004; accepted on April 25, 2004
Advance Access Publication May 6, 2004

Summary: Sliding-window analysis procedure to detect selective constraints (SWAPSC) is a software system to dissect the constraints on the evolution of protein-coding genes. The program estimates rates of nucleotide substitutions at specific codon regions in each branch of a phylogenetic tree. The program uses several sets of simulated sequence alignments to estimate the probability of synonymous and non-synonymous nucleotide substitutions. Thereafter, a statistical analysis is conducted to determine the optimum window size to detect selective constraints. Finally, the optimum window size is slid along the real alignment and a test for significance of the estimated number of synonymous and non-synonymous nucleotide substitutions in each sliding step is conducted. A number of friendly useful output files is generated.

Availability: SWAPSC is available at http//www.may.ie/academic/biology/staff/mfmolecevolandbioinf.shtml. Distribution versions for both Linux and Windows operating systems are available, including manual and example files.

Contact: mario.fares{at}may.ie


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