KnetMaps: a BioJS component to visualize biological knowledge networks
Singh, Ajit
, Rawlings, Chris and Hassani-Pak, Keywan
(2018)
KnetMaps: a BioJS component to visualize biological knowledge networks.
F1000Research, 7.
p. 1651.
10.12688/f1000research.16605.1
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.
| Item Type | Article |
|---|---|
| Open Access | Gold |
| Additional information | This work was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) grants Designing Future Grant information : Wheat (DFW) (BB/P016855/1) and Disease Net Miner (BB/N022874/1) |
| Keywords | Knowledge network, Knowledge graph, Network visualisation, Knowledge discovery, Biojs |
| Project | 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 |
| Date Deposited | 05 Dec 2025 09:12 |
| Last Modified | 19 Dec 2025 14:10 |
ORCID: https://orcid.org/0000-0001-6239-9967
ORCID: https://orcid.org/0000-0001-9625-0511


