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

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. 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…

• BA
  Bill and Melinda Gates Foundation
• FL
  Fundação Luso-Americana para o Desenvolvimento
• FP
  Fundação para a Ciência e a Tecnologia