KnetMaps: a BioJS component to visualize biological knowledge networks

A - Papers appearing in refereed journals

Singh, A., Rawlings, C. J. and Hassani-Pak, K. 2018. KnetMaps: a BioJS component to visualize biological knowledge networks. F1000Research. 7, p. 1651.

AuthorsSingh, A., Rawlings, C. J. and Hassani-Pak, K.
Abstract

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.

KeywordsKnowledge network; Knowledge graph; Network visualisation; Knowledge discovery; Biojs
Year of Publication2018
JournalF1000Research
Journal citation7, p. 1651
Digital Object Identifier (DOI)doi:10.12688/f1000research.16605.1
Web address (URL)https://f1000research.com/articles/7-1651/v1
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeDiseaseNetMiner - A novel tool for mining integrated biological networks of host and pathogen interaction
DFW - Designing Future Wheat - Work package 4 (WP4) - Data access and analysis
Output statusE-publication ahead of print
Publication dates
Online17 Oct 2018
PublisherF1000 Research Ltd
Copyright licenseCC BY
ISSN 2046-1402
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Permalink - https://repository.rothamsted.ac.uk/item/84v0z/knetmaps-a-biojs-component-to-visualize-biological-knowledge-networks

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