Bioinformatics Advance Access originally published online on October 7, 2008
Bioinformatics 2008 24(23):2786-2787; doi:10.1093/bioinformatics/btn522
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A flexible forward simulator for populations subject to selection and demography
Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14850, USA
| Abstract |
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Summary: This article introduces a new forward population genetic simulation program that can efficiently generate samples from populations with complex demographic histories under various models of natural selection. The program (SFS_CODE) is highly flexible, allowing the user to simulate realistic genomic regions with several loci evolving according to a variety of mutation models (from simple to context-dependent), and allows for insertions and deletions. Each locus can be annotated as either coding or non-coding, sex-linked or autosomal, selected or neutral, and have an arbitrary linkage structure (from completely linked to independent).
Availability: The source code (written in the C programming language) is available at http://sfscode.sourceforge.net, and a web server (http://cbsuapps.tc.cornell.edu/sfscode.aspx) allows the user to perform simulations using the high-performance computing cluster hosted by the Cornell University Computational Biology Service Unit.
Contact: rhernandez{at}uchicago.edu
Supplementary information: An extensive user's manual, perfor-mance statistics, and comparisons of patterns of genetic variation generated by SFS_CODE to theoretical expectations under various non-stationary demographic histories and models of natural selection are available on the project website: http://sfscode.sourceforge.net.
Associate Editor: Alex Bateman
*Present address: Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Received on August 13, 2008; revised on September 19, 2008; accepted on October 4, 2008
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