LOSITAN: A workbench to detect molecular adaptation based on a F(st)-outlier method

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

antao, t (Autor) Outra; lopes, a (Autor) Outra; lopes, rj (Autor) Outra; beja-pereira, a (Autor) FCUP; luikart, g (Autor) Outra

Revista

Título: BMC Bioinformatics

Vol. 9

ISSN: 1471-2105

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 930 Citações

Scopus - 928 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências biológicas

Outras Informações

ID Authenticus: P-003-XP4

DOI: 10.1186/1471-2105-9-323

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica