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The EVcouplings Python framework for coevolutionary sequence analysis.
Hopf, Thomas A; Green, Anna G; Schubert, Benjamin; Mersmann, Sophia; Schärfe, Charlotta P I; Ingraham, John B; Toth-Petroczy, Agnes; Brock, Kelly; Riesselman, Adam J; Palmedo, Perry; Kang, Chan; Sheridan, Robert; Draizen, Eli J; Dallago, Christian; Sander, Chris; Marks, Debora S.
Afiliación
  • Hopf TA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Green AG; Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
  • Schubert B; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Mersmann S; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Schärfe CPI; Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
  • Ingraham JB; cBio Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Toth-Petroczy A; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Brock K; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Riesselman AJ; Center for Bioinformatics, University of Tübingen, Tübingen, Germany.
  • Palmedo P; Applied Bioinformatics, Department of Computer Science, Tübingen, Germany.
  • Kang C; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Sheridan R; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Draizen EJ; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Dallago C; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Sander C; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Marks DS; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.
Bioinformatics ; 35(9): 1582-1584, 2019 05 01.
Article en En | MEDLINE | ID: mdl-30304492
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos