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. https://doi.org/10.12688/f1000research.16605.1
Authors | Singh, A., Rawlings, C. J. and Hassani-Pak, K. |
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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. |
Keywords | Knowledge network; Knowledge graph; Network visualisation; Knowledge discovery; Biojs |
Year of Publication | 2018 |
Journal | F1000Research |
Journal citation | 7, p. 1651 |
Digital Object Identifier (DOI) | https://doi.org/10.12688/f1000research.16605.1 |
Web address (URL) | https://f1000research.com/articles/7-1651/v1 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | DiseaseNetMiner - 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 status | E-publication ahead of print |
Publication dates | |
Online | 17 Oct 2018 |
Publisher | F1000 Research Ltd |
Copyright license | CC BY |
ISSN | 2046-1402 |
File |
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