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KnetMaps: a BioJS component to visualize biological knowledge networks
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347035/ https://www.ncbi.nlm.nih.gov/pubmed/30755790 http://dx.doi.org/10.12688/f1000research.16605.1 |
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author | Singh, Ajit Rawlings, Christopher J. Hassani-Pak, Keywan |
author_facet | Singh, Ajit Rawlings, Christopher J. Hassani-Pak, Keywan |
author_sort | Singh, Ajit |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6347035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-63470352019-02-11 KnetMaps: a BioJS component to visualize biological knowledge networks Singh, Ajit Rawlings, Christopher J. Hassani-Pak, Keywan F1000Res Software Tool Article 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. F1000 Research Limited 2018-10-17 /pmc/articles/PMC6347035/ /pubmed/30755790 http://dx.doi.org/10.12688/f1000research.16605.1 Text en Copyright: © 2018 Singh A et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Singh, Ajit Rawlings, Christopher J. Hassani-Pak, Keywan KnetMaps: a BioJS component to visualize biological knowledge networks |
title | KnetMaps: a BioJS component to visualize biological knowledge networks |
title_full | KnetMaps: a BioJS component to visualize biological knowledge networks |
title_fullStr | KnetMaps: a BioJS component to visualize biological knowledge networks |
title_full_unstemmed | KnetMaps: a BioJS component to visualize biological knowledge networks |
title_short | KnetMaps: a BioJS component to visualize biological knowledge networks |
title_sort | knetmaps: a biojs component to visualize biological knowledge networks |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347035/ https://www.ncbi.nlm.nih.gov/pubmed/30755790 http://dx.doi.org/10.12688/f1000research.16605.1 |
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