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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). © The Author 2008. Published by Oxford University Press. All rights reserved.

Type Size Name Uploaded Downloads Labels
conda 357.7 kB | linux-64/sfs_code-20150910-h470a237_1.tar.bz2  6 years and 5 months ago 304 main cf201901
conda 227.5 kB | osx-64/sfs_code-20150910-h470a237_1.tar.bz2  6 years and 5 months ago 1426 main cf201901
conda 357.9 kB | linux-64/sfs_code-20150910-0.tar.bz2  6 years and 6 months ago 408 main cf201901
conda 361.1 kB | osx-64/sfs_code-20150910-0.tar.bz2  6 years and 6 months ago 302 main cf201901

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