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Pathway collages: personalized multi-pathway diagrams

BACKGROUND: Metabolic pathway diagrams are a classical way of visualizing a linked cascade of biochemical reactions. However, to understand some biochemical situations, viewing a single pathway is insufficient, whereas viewing the entire metabolic network results in information overload. How do we e...

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Detalles Bibliográficos
Autores principales: Paley, Suzanne, O’Maille, Paul E., Weaver, Daniel, Karp, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154164/
https://www.ncbi.nlm.nih.gov/pubmed/27964719
http://dx.doi.org/10.1186/s12859-016-1382-1
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author Paley, Suzanne
O’Maille, Paul E.
Weaver, Daniel
Karp, Peter D.
author_facet Paley, Suzanne
O’Maille, Paul E.
Weaver, Daniel
Karp, Peter D.
author_sort Paley, Suzanne
collection PubMed
description BACKGROUND: Metabolic pathway diagrams are a classical way of visualizing a linked cascade of biochemical reactions. However, to understand some biochemical situations, viewing a single pathway is insufficient, whereas viewing the entire metabolic network results in information overload. How do we enable scientists to rapidly construct personalized multi-pathway diagrams that depict a desired collection of interacting pathways that emphasize particular pathway interactions? RESULTS: We define software for constructing personalized multi-pathway diagrams called pathway-collages using a combination of manual and automatic layouts. The user specifies a set of pathways of interest for the collage from a Pathway/Genome Database. Layouts for the individual pathways are generated by the Pathway Tools software, and are sent to a Javascript Pathway Collage application implemented using Cytoscape.js. That application allows the user to re-position pathways; define connections between pathways; change visual style parameters; and paint metabolomics, gene expression, and reaction flux data onto the collage to obtain a desired multi-pathway diagram. We demonstrate the use of pathway collages in two application areas: a metabolomics study of pathogen drug response, and an Escherichia coli metabolic model. CONCLUSIONS: Pathway collages enable facile construction of personalized multi-pathway diagrams.
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spelling pubmed-51541642016-12-20 Pathway collages: personalized multi-pathway diagrams Paley, Suzanne O’Maille, Paul E. Weaver, Daniel Karp, Peter D. BMC Bioinformatics Software BACKGROUND: Metabolic pathway diagrams are a classical way of visualizing a linked cascade of biochemical reactions. However, to understand some biochemical situations, viewing a single pathway is insufficient, whereas viewing the entire metabolic network results in information overload. How do we enable scientists to rapidly construct personalized multi-pathway diagrams that depict a desired collection of interacting pathways that emphasize particular pathway interactions? RESULTS: We define software for constructing personalized multi-pathway diagrams called pathway-collages using a combination of manual and automatic layouts. The user specifies a set of pathways of interest for the collage from a Pathway/Genome Database. Layouts for the individual pathways are generated by the Pathway Tools software, and are sent to a Javascript Pathway Collage application implemented using Cytoscape.js. That application allows the user to re-position pathways; define connections between pathways; change visual style parameters; and paint metabolomics, gene expression, and reaction flux data onto the collage to obtain a desired multi-pathway diagram. We demonstrate the use of pathway collages in two application areas: a metabolomics study of pathogen drug response, and an Escherichia coli metabolic model. CONCLUSIONS: Pathway collages enable facile construction of personalized multi-pathway diagrams. BioMed Central 2016-12-13 /pmc/articles/PMC5154164/ /pubmed/27964719 http://dx.doi.org/10.1186/s12859-016-1382-1 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Software
Paley, Suzanne
O’Maille, Paul E.
Weaver, Daniel
Karp, Peter D.
Pathway collages: personalized multi-pathway diagrams
title Pathway collages: personalized multi-pathway diagrams
title_full Pathway collages: personalized multi-pathway diagrams
title_fullStr Pathway collages: personalized multi-pathway diagrams
title_full_unstemmed Pathway collages: personalized multi-pathway diagrams
title_short Pathway collages: personalized multi-pathway diagrams
title_sort pathway collages: personalized multi-pathway diagrams
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154164/
https://www.ncbi.nlm.nih.gov/pubmed/27964719
http://dx.doi.org/10.1186/s12859-016-1382-1
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