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PathwayMatrix: visualizing binary relationships between proteins in biological pathways
BACKGROUND: Molecular activation pathways are inherently complex, and understanding relations across many biochemical reactions and reaction types is difficult. Visualizing and analyzing a pathway is a challenge due to the network size and the diversity of relations between proteins and molecules. R...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547148/ https://www.ncbi.nlm.nih.gov/pubmed/26361499 http://dx.doi.org/10.1186/1753-6561-9-S6-S3 |
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author | Dang, Tuan Nhon Murray, Paul Forbes, Angus Graeme |
author_facet | Dang, Tuan Nhon Murray, Paul Forbes, Angus Graeme |
author_sort | Dang, Tuan Nhon |
collection | PubMed |
description | BACKGROUND: Molecular activation pathways are inherently complex, and understanding relations across many biochemical reactions and reaction types is difficult. Visualizing and analyzing a pathway is a challenge due to the network size and the diversity of relations between proteins and molecules. RESULTS: In this paper, we introduce PathwayMatrix, a visualization tool that presents the binary relations between proteins in the pathway via the use of an interactive adjacency matrix. We provide filtering, lensing, clustering, and brushing and linking capabilities in order to present relevant details about proteins within a pathway. CONCLUSIONS: We evaluated PathwayMatrix by conducting a series of in-depth interviews with domain experts who provided positive feedback, leading us to believe that our visualization technique could be helpful for the larger community of researchers utilizing pathway visualizations. PathwayMatrix is freely available at https://github.com/CreativeCodingLab/PathwayMatrix. |
format | Online Article Text |
id | pubmed-4547148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45471482015-09-10 PathwayMatrix: visualizing binary relationships between proteins in biological pathways Dang, Tuan Nhon Murray, Paul Forbes, Angus Graeme BMC Proc Research BACKGROUND: Molecular activation pathways are inherently complex, and understanding relations across many biochemical reactions and reaction types is difficult. Visualizing and analyzing a pathway is a challenge due to the network size and the diversity of relations between proteins and molecules. RESULTS: In this paper, we introduce PathwayMatrix, a visualization tool that presents the binary relations between proteins in the pathway via the use of an interactive adjacency matrix. We provide filtering, lensing, clustering, and brushing and linking capabilities in order to present relevant details about proteins within a pathway. CONCLUSIONS: We evaluated PathwayMatrix by conducting a series of in-depth interviews with domain experts who provided positive feedback, leading us to believe that our visualization technique could be helpful for the larger community of researchers utilizing pathway visualizations. PathwayMatrix is freely available at https://github.com/CreativeCodingLab/PathwayMatrix. BioMed Central 2015-08-13 /pmc/articles/PMC4547148/ /pubmed/26361499 http://dx.doi.org/10.1186/1753-6561-9-S6-S3 Text en Copyright © 2015 Dang et al. 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 use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Dang, Tuan Nhon Murray, Paul Forbes, Angus Graeme PathwayMatrix: visualizing binary relationships between proteins in biological pathways |
title | PathwayMatrix: visualizing binary relationships between proteins in biological pathways |
title_full | PathwayMatrix: visualizing binary relationships between proteins in biological pathways |
title_fullStr | PathwayMatrix: visualizing binary relationships between proteins in biological pathways |
title_full_unstemmed | PathwayMatrix: visualizing binary relationships between proteins in biological pathways |
title_short | PathwayMatrix: visualizing binary relationships between proteins in biological pathways |
title_sort | pathwaymatrix: visualizing binary relationships between proteins in biological pathways |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547148/ https://www.ncbi.nlm.nih.gov/pubmed/26361499 http://dx.doi.org/10.1186/1753-6561-9-S6-S3 |
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