A flexible forward simulator for populations subject to selection and demography

摘要: 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 (SFS_CODE) is highly flexible, allowing the user to simulate realistic genomic regions several loci evolving according variety mutation (from simple context-dependent), and allows for insertions deletions. Each locus be annotated as either coding or non-coding, sex-linked autosomal, selected neutral, have an arbitrary linkage structure completely linked independent). Availability: source code (written in C programming language) available at http://sfscode.sourceforge.net, web server (http://cbsuapps.tc.cornell.edu/sfscode.aspx) perform simulations using high-performance computing cluster hosted by Cornell University Computational Biology Service Unit. Contact: rhernandez@uchicago.edu Supplementary information: An extensive user's manual, perfor-mance statistics, comparisons patterns variation generated SFS_CODE theoretical expectations non-stationary selection are on project website: http://sfscode.sourceforge.net.