Abstract
Abstract Summary: We present an extension of the program SIMCOAL, which allows for simulation of the genomic diversity of samples drawn from a set of populations with arbitrary patterns of migrations and complex demographic histories, including bottlenecks and various modes of demographic expansion. The main additions to the previous version include the possibility of arbitrary and heterogeneous recombination rates between adjacent loci and multiple coalescent events per generation, allowing for the simulation of very large samples and recombining genomic regions, together with the simulation of single nucleotide polymorphism data with frequency ascertainment bias. Availability: http://cmpg.unibe.ch/software/simcoal2/ Supplementary information: http://cmpg.unibe.ch/software/simcoal2/
Keywords
MeSH Terms
Affiliated Institutions
Related Publications
<scp>splatche</scp>: a program to simulate genetic diversity taking into account environmental heterogeneity
Abstract We present a program called splatche (SPatiaL And Temporal Coalescences in Heterogeneous Environments) to simulate the molecular diversity of samples of genes in an env...
Sequence-Level Population Simulations Over Large Genomic Regions
Abstract Simulation is an invaluable tool for investigating the effects of various population genetics modeling assumptions on resulting patterns of genetic diversity, and for a...
Arlequin (version 3.0): An integrated software package for population genetics data analysis
Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity i...
DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets
We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple seque...
Accommodating the Effect of Ancient DNA Damage on Inferences of Demographic Histories
DNA sequences extracted from ancient remains are increasingly used to generate large population data sets, often spanning tens of thousands of years of population history. Bayes...
Publication Info
- Year
- 2004
- Type
- article
- Volume
- 20
- Issue
- 15
- Pages
- 2485-2487
- Citations
- 262
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1093/bioinformatics/bth264
- PMID
- 15117750