KnetMaps: a BioJS component to visualize biological knowledge networks [version 1; peer review: 3 approved, 1 approved with reservations]

KnetMaps is a BioJS component for the interactive visualization of biological knowledge networks. It is well suited for applications that need to visualise complementary, connected and content-rich data in a single view in order to help users to traverse pathways linking entities of interest, for ex...

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Bibliographic Details
Published inF1000 research Vol. 7; p. 1651
Main Authors Singh, Ajit, Rawlings, Christopher J, Hassani-Pak, Keywan
Format Journal Article
LanguageEnglish
Published England Faculty of 1000 Ltd 2018
F1000 Research Limited
F1000 Research Ltd
Subjects
Biology
Genes
Genetic engineering
Genomes
Genotypes
Knowledge
Ontology
Phenotypes
Researchers
Semantic web
Software
Software Tool
User-Computer Interface
Visualization
Web browsers
knowledge discovery
knowledge network
knowledge graph
biojs
network visualisation
Online AccessGet full text
ISSN2046-1402
2046-1402
DOI10.12688/f1000research.16605.1

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Summary:KnetMaps is a BioJS component for the interactive visualization of biological knowledge networks. It is well suited for applications that need to visualise complementary, connected and content-rich data in a single view in order to help users to traverse pathways linking entities of interest, for example to go from genotype to phenotype. KnetMaps loads data in JSON format, visualizes the structure and content of knowledge networks using lightweight JavaScript libraries, and supports interactive touch gestures. KnetMaps uses effective visualization techniques to prevent information overload and to allow researchers to progressively build their knowledge.
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No competing interests were disclosed.
ISSN:2046-1402
2046-1402
DOI:10.12688/f1000research.16605.1