REJECTOR: software for population history inference from genetic data via a rejection algorithm

We introduce REJECTOR, software for parameter estimation and comparison of alternate models of population history from genetic data via a rejection algorithm. Through coalescent simulation, REJECTOR generates numerous gene genealogies, and hence simulated data, under a model of population history sp...

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Bibliographic Details
Published in:Bioinformatics 2008-12, Vol.24 (24), p.2936-2937
Main Authors: Jobin, Matthew J., Mountain, Joanna L.
Format: Article
Language:English
Subjects:
Algorithms
Animals
Applications Note
Biological and medical sciences
Evolution, Molecular
Fundamental and applied biological sciences. Psychology
Gene Expression Profiling
General aspects
Genetics, Population
Humans
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Microsatellite Repeats
Software
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Summary:We introduce REJECTOR, software for parameter estimation and comparison of alternate models of population history from genetic data via a rejection algorithm. Through coalescent simulation, REJECTOR generates numerous gene genealogies, and hence simulated data, under a model of population history specified by the user. Summary statistics derived from such simulated data are compared with observed statistics, leading to acceptance or rejection of a given set of parameter values. We performed tests of the software using known parameter values in order to assess the inferential power provided by each summary statistic. The tests demonstrate the precision and accuracy of estimation made possible using this approach. Availability: http://www.rejector.org Contact: mjobin@stanford.edu Supplementary Information: Supplementary data are available at http://www.rejector.org/guide.pdf
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btn540