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GSEL: a fast, flexible python package for detecting signatures of diverse evolutionary forces on genomic regions.

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Title: GSEL: a fast, flexible python package for detecting signatures of diverse evolutionary forces on genomic regions.
Authors: Abraham A; Division of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA., Labella AL; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37232, USA.; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37232, USA.; Department of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC 28223, USA.; North Carolina Research Center, Kannapolis, NC 28081, USA., Benton ML; North Carolina Research Center, Kannapolis, NC 28081, USA., Rokas A; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37232, USA.; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37232, USA.; Department of Computer Science, Baylor University, Waco, TX 76706, USA.; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37232, USA., Capra JA; Department of Epidemiology and Biostatistics, Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Jan 01; Vol. 39 (1).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btad037