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A Cytoscape app for motif enumeration with ISMAGS.
Van Parys, Thomas; Melckenbeeck, Ine; Houbraken, Maarten; Audenaert, Pieter; Colle, Didier; Pickavet, Mario; Demeester, Piet; Van de Peer, Yves.
  • Van Parys T; Department of Plant Systems Biology, VIB, Ghent, Belgium.
  • Melckenbeeck I; Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
  • Houbraken M; Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.
  • Audenaert P; Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium.
  • Colle D; Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium.
  • Pickavet M; Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.
  • Demeester P; Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium.
  • Van de Peer Y; Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.
Bioinformatics ; 33(3): 461-463, 2017 02 01.
Article en En | MEDLINE | ID: mdl-28158465
ABSTRACT

Summary:

We present a Cytoscape app for the ISMAGS algorithm, which can enumerate all instances of a motif in a graph, making optimal use of the motif's symmetries to make the search more efficient. The Cytoscape app provides a handy interface for this algorithm, which allows more efficient network analysis. Availability and Implementation The Cytoscape app for ISMAGS can be freely downloaded from the Cytoscape App store http//apps.cytoscape.org/apps/ismags. Source code and documentation for ISMAGS are available at https//github.com/biointec/ismags. Source code and documentation for the Cytoscape app are available at https//gitlab.psb.ugent.be/thpar/ISMAGS_Cytoscape. Contacts Pieter.Audenaert@intec.ugent.be or Yves.VanDePeer@psb.vib-ugent.be Supplementary information Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional Idioma: En Año: 2017 Tipo del documento: Article