期刊
BMC BIOINFORMATICS
卷 9, 期 -, 页码 -出版社
BIOMED CENTRAL LTD
DOI: 10.1186/1471-2105-9-323
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资金
- Bill & Melinda Gates Foundation [39777]
- Fundacao para a Ciencia e Tecnologia (FCT) [POCI/CVT/567558/2004]
- Luso-American Foundation, UP, CIBIO
- FCT [PTDC/BIA-BDE/65625/2006]
- [SFRH/BD/30834/2006]
- [SFRH/BPD/14953/2004]
- [SFRH/BPD/17822/2004]
- Fundação para a Ciência e a Tecnologia [SFRH/BPD/17822/2004, PTDC/BIA-BDE/65625/2006] Funding Source: FCT
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to use, leaving many non-trivial, error-prone tasks to the user. Results: Here we present LOSITAN, a selection detection workbench based on a well evaluated F(st)-outlier detection method. LOSITAN greatly facilitates correct approximation of model parameters ( e. g., genome-wide average, neutral F(st)), provides data import and export functions, iterative contour smoothing and generation of graphics in a easy to use graphical user interface. LOSITAN is able to use modern multi-core processor architectures by locally parallelizing fdist, reducing computation time by half in current dual core machines and with almost linear performance gains in machines with more cores. Conclusion: LOSITAN makes selection detection feasible to a much wider range of users, even for large population genomic datasets, by both providing an easy to use interface and essential functionality to complete the whole selection detection process.
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