Simulating Finite Sites under COmplex Demographic Events
Simulating Finite Sites under COmplex Demographic Events
SFS_CODE can perform forward population genetic simulations under a general Wright-Fisher model with arbitrary migration, demographic, selective, and mutational effects.
This program was developed by Ryan Hernandez (ryan.hernandez [at] ucsf [dot] edu). The project began while he was a graduate student in the Bustamante lab at Cornell University, and maintenance continued through his posdoc with Molly Przeworski at the University of Chicago. Ryan is currently an assistant professor at UCSF.
Acknowledgments
Many thanks to Lawrence Uricchio (a graduate student in the lab) who created sfs_coder, a nice python-based front-end for SFS_CODE! This allows the user to perform simulations based on any desired region of the human genome, including the inferred local recombination map, as well as a distribution of deleterious selection coefficients on coding and conserved-noncoding loci.
Many thanks to my β-users, especially Ryan Gutenkunst, who helped me to debug and stress-test this program, and to the National Science Foundation for support through a Minority Postdoctoral Research Fellowship while at the University of Chicago. SFS_CODE is now supported by the NIH, grant number 1R01HG007644.
Documentation
SFS_CODE_doc.pdf (Also included with source code download)
Download
Miscellaneous
Sourceforge project page
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SFS_CODE in use! See a (hopefully growing) list of articles that cite SFS_CODE.
Reference: Hernandez, RD. (2008) A flexible forward simulator for populations subject to selection and demography. Bioinformatics, 24:2786-2787. (text)
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