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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...

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Detalles Bibliográficos
Autores principales: Singh, Ajit, Rawlings, Christopher J., Hassani-Pak, Keywan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
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.
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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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