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SPV: a JavaScript Signaling Pathway Visualizer
SUMMARY: The visualization of molecular interactions annotated in web resources is useful to offer to users such information in a clear intuitive layout. These interactions are frequently represented as binary interactions that are laid out in free space where, different entities, cellular compartme...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061680/ https://www.ncbi.nlm.nih.gov/pubmed/29590303 http://dx.doi.org/10.1093/bioinformatics/bty188 |
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author | Calderone, Alberto Cesareni, Gianni |
author_facet | Calderone, Alberto Cesareni, Gianni |
author_sort | Calderone, Alberto |
collection | PubMed |
description | SUMMARY: The visualization of molecular interactions annotated in web resources is useful to offer to users such information in a clear intuitive layout. These interactions are frequently represented as binary interactions that are laid out in free space where, different entities, cellular compartments and interaction types are hardly distinguishable. Signaling Pathway Visualizer is a free open source JavaScript library, which offers a series of pre-defined elements, compartments and interaction types meant to facilitate the representation of signaling pathways consisting of causal interactions without neglecting simple protein–protein interaction networks. AVAILABILITY AND IMPLEMENTATION: Freely available under Apache version 2 license; Source code: https://github.com/Sinnefa/SPV_Signaling_Pathway_Visualizer_v1.0. Language: JavaScript; Web technology: Scalable Vector Graphics; Libraries: D3.js. |
format | Online Article Text |
id | pubmed-6061680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60616802018-08-07 SPV: a JavaScript Signaling Pathway Visualizer Calderone, Alberto Cesareni, Gianni Bioinformatics Applications Notes SUMMARY: The visualization of molecular interactions annotated in web resources is useful to offer to users such information in a clear intuitive layout. These interactions are frequently represented as binary interactions that are laid out in free space where, different entities, cellular compartments and interaction types are hardly distinguishable. Signaling Pathway Visualizer is a free open source JavaScript library, which offers a series of pre-defined elements, compartments and interaction types meant to facilitate the representation of signaling pathways consisting of causal interactions without neglecting simple protein–protein interaction networks. AVAILABILITY AND IMPLEMENTATION: Freely available under Apache version 2 license; Source code: https://github.com/Sinnefa/SPV_Signaling_Pathway_Visualizer_v1.0. Language: JavaScript; Web technology: Scalable Vector Graphics; Libraries: D3.js. Oxford University Press 2018-08-01 2018-03-24 /pmc/articles/PMC6061680/ /pubmed/29590303 http://dx.doi.org/10.1093/bioinformatics/bty188 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Calderone, Alberto Cesareni, Gianni SPV: a JavaScript Signaling Pathway Visualizer |
title | SPV: a JavaScript Signaling Pathway Visualizer |
title_full | SPV: a JavaScript Signaling Pathway Visualizer |
title_fullStr | SPV: a JavaScript Signaling Pathway Visualizer |
title_full_unstemmed | SPV: a JavaScript Signaling Pathway Visualizer |
title_short | SPV: a JavaScript Signaling Pathway Visualizer |
title_sort | spv: a javascript signaling pathway visualizer |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061680/ https://www.ncbi.nlm.nih.gov/pubmed/29590303 http://dx.doi.org/10.1093/bioinformatics/bty188 |
work_keys_str_mv | AT calderonealberto spvajavascriptsignalingpathwayvisualizer AT cesarenigianni spvajavascriptsignalingpathwayvisualizer |