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Bioinformatics. 2017 Nov 15;33(22):3673-3675. doi: 10.1093/bioinformatics/btx497.

ComplexViewer: visualization of curated macromolecular complexes.

Author information

1
Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9?3BF, UK.
2
European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, CB10?1SD, Cambridge, UK.
3
Cambridge Systems Biology Centre, University of Cambridge, Cambridge, CB2 1QR, UK.
4
Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.
5
Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3BF, UK.
6
Chair of Bioanalytics, Department of Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, 13355, Germany.

Abstract

Summary:

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.

Availability and implementation:

freely available under Apache version 2 license; EMBL-EBI Complex Portal: http://www.ebi.ac.uk/complexportal; Source code: https://github.com/MICommunity/ComplexViewer; Package: https://www.npmjs.com/package/complexviewer; http://biojs.io/d/complexviewer. Language: JavaScript; Web technology: Scalable Vector Graphics; Libraries: D3.js.

Contact:

colin.combe@ed.ac.uk or juri.rappsilber@ed.ac.uk.

PMID:
29036573
PMCID:
PMC5870653
DOI:
10.1093/bioinformatics/btx497
[Indexed for MEDLINE]
Free PMC Article

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