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HyPhy 2.5-A Customizable Platform for Evolutionary Hypothesis Testing Using Phylogenies.
Kosakovsky Pond, Sergei L; Poon, Art F Y; Velazquez, Ryan; Weaver, Steven; Hepler, N Lance; Murrell, Ben; Shank, Stephen D; Magalis, Brittany Rife; Bouvier, Dave; Nekrutenko, Anton; Wisotsky, Sadie; Spielman, Stephanie J; Frost, Simon D W; Muse, Spencer V.
Afiliação
  • Kosakovsky Pond SL; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Poon AFY; Pathology and Laboratory Medicine, Western University, London, ON, Canada.
  • Velazquez R; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Weaver S; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Hepler NL; 10× Genomics, Pleasanton, CA.
  • Murrell B; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
  • Shank SD; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Magalis BR; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Bouvier D; Biochemistry and Molecular Biology, The Pennsylvania State University, State College, PA.
  • Nekrutenko A; Biochemistry and Molecular Biology, The Pennsylvania State University, State College, PA.
  • Wisotsky S; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Spielman SJ; Department of Statistics and Bioinformatics Research Center, North Carolina State University, Raleigh, NC.
  • Frost SDW; Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA.
  • Muse SV; Rowan University, Glassboro, NJ.
Mol Biol Evol ; 37(1): 295-299, 2020 Jan 01.
Article em En | MEDLINE | ID: mdl-31504749
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Técnicas Genéticas Tipo de estudo: Evaluation_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Técnicas Genéticas Tipo de estudo: Evaluation_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article