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PMID: 16225674 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

CoaSim: a flexible environment for simulating genetic data under coalescent models.

BMC bioinformatics ·Vol. 6 ·2005-10-14 ·Pages 252

Mailund T, Schierup MH, Pedersen CN, Mechlenborg PJ, Madsen JN, Schauser L

Abstract

Coalescent simulations are playing a large role in interpreting large scale intra-specific sequence or polymorphism surveys and for planning and evaluating association studies. Coalescent simulations of data sets under different models can be compared to the actual data to test the importance of different evolutionary factors and thus get insight into these. We have created the CoaSim application as a flexible environment for Monte Carlo simulation of various types of genetic data under equilibrium and non-equilibrium coalescent processes for a variety of applications. Interaction with the tool is through the Guile version of the Scheme scripting language. Scheme scripts for many standard and advanced applications are provided and these can easily be modified by the user for a much wider range of applications. A graphical user interface with less functionality and flexibility is also included. It is primarily intended as an exploratory and educational tool CoaSim is a powerful tool because of its flexibility and ease of use. This is illustrated through very varied uses of the application, e.g. evaluation of association mapping methods, parametric bootstrapping, and design and choice of markers for specific questions.

MeSH Terms
Case-Control Studies Computer Simulation Data Interpretation, Statistical Disease Susceptibility Genetic Markers Genetic Predisposition to Disease/genetics Humans Models, Genetic Monte Carlo Method Polymorphism, Genetic Polymorphism, Single Nucleotide Software
Chemicals
Genetic Markers
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Mailund Thomas
Bioinformatics Research Center, University of Aarhus, Høegh Guldbergsgade 10, 8000 Arhus C, Denmark. mailund@birc.au.dk
Schierup Mikkel H
Pedersen Christian N S
Mechlenborg Peter J M
Madsen Jesper N
Schauser Leif
References (7)
7 references, click to expand
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2005-10-14
Epub
2005-00-14
Pages
252
Language
English
Region
England
NLM ID
100965194
PMCID
PMC1274299
Subset
IM
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