ComplexViewer: visualization of curated macromolecular complexes | Zendy

Colin Combe | Zendy; M. Sivade | Zendy; Henning Hermjakob | Zendy; Joshua Heimbach | Zendy; Birgit H M Meldal | Zendy; Gos Micklem | Zendy; Sandra Orchard | Zendy; Juri Rappsilber | Zendy

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ComplexViewer: visualization of curated macromolecular complexes

Author(s) -

Colin Combe,

M. Sivade,

Henning Hermjakob,

Joshua Heimbach,

Birgit H M Meldal,

Gos Micklem,

Sandra Orchard,

Juri Rappsilber

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx497

Subject(s) - javascript , computer science , context (archaeology) , visualization , source code , scalability , graphics , mit license , molecular graphics , world wide web , computer graphics (images) , computer graphics , scalable vector graphics , programming language , computational biology , software , database , data mining , biology , paleontology

Proteins frequently function as parts of complexes, assemblages of multiple proteins and other biomolecules, yet network visualizations usually only show proteins as parts of binary interactions. ComplexViewer visualizes interactions with more than two participants and thereby avoids the need to first expand these into multiple binary interactions. Furthermore, if binding regions between molecules are known then these can be displayed in the context of the larger complex.

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