BioJS DAGViewer: A reusable JavaScript component for displaying directed graphs [v1; ref status: indexed, http://f1000r.es/2ut]

Alexis Kalderimis; Radek Stepan; Julie Sullivan; Rachel Lyne; Michael Lyne; Gos Micklem

doi:10.12688/f1000research.3-51.v1

F1000Research (Feb 2014)

BioJS DAGViewer: A reusable JavaScript component for displaying directed graphs [v1; ref status: indexed, http://f1000r.es/2ut]

Alexis Kalderimis,
Radek Stepan,
Julie Sullivan,
Rachel Lyne,
Michael Lyne,
Gos Micklem

Affiliations

Alexis Kalderimis: Department of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK
Radek Stepan: Department of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK
Julie Sullivan: Department of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK
Rachel Lyne: Department of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK
Michael Lyne: Department of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK
Gos Micklem: Department of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK

DOI: https://doi.org/10.12688/f1000research.3-51.v1
Journal volume & issue: Vol. 3

Abstract

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Summary: The DAGViewer BioJS component is a reusable JavaScript component made available as part of the BioJS project and intended to be used to display graphs of structured data, with a particular emphasis on Directed Acyclic Graphs (DAGs). It enables users to embed representations of graphs of data, such as ontologies or phylogenetic trees, in hyper-text documents (HTML). This component is generic, since it is capable (given the appropriate configuration) of displaying any kind of data that is organised as a graph. The features of this component which are useful for examining and filtering large and complex graphs are described. Availability: http://github.com/alexkalderimis/dag-viewer-biojs; http://github.com/biojs/biojs; http://dx.doi.org/10.5281/zenodo.8303.

Bioinformatics

Published in F1000Research

ISSN: 2046-1402 (Online)
Publisher: F1000 Research Ltd
Country of publisher: United Kingdom
LCC subjects: Medicine; Science
Website: https://f1000research.com

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Abstract

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