TY - JOUR
AU - Luikart, Gordon
AB - 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 -outlier detection method. LOSITAN greatly facilitates correct approximation of model st parameters (e.g., genome-wide average, neutral F ), provides data import and export functions, st 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. before computing most population genetic parameters Background Understanding the contribution of selection and molecu- (e.g., F , N , N ), that require neutral loci [4]. This is par- st m e lar adaptation in shaping genome 
TI - LOSITAN: A workbench to detect molecular adaptation based on a F st -outlier method
JF - BMC Bioinformatics
DO - 10.1186/1471-2105-9-323
DA - 2008-07-28
UR - https://www.deepdyve.com/lp/springer-journals/lositan-a-workbench-to-detect-molecular-adaptation-based-on-a-f-st-I2P1W68Ok0
SP - 1
EP - 5
VL - 9
IS - 1
DP - DeepDyve
ER -