Your browser doesn't support javascript.
loading
Pathway collages: personalized multi-pathway diagrams.
Paley, Suzanne; O'Maille, Paul E; Weaver, Daniel; Karp, Peter D.
Afiliação
  • Paley S; Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, 94025, USA.
  • O'Maille PE; John Innes Centre, Department of Metabolic Biology, and the Institute of Food Research, Food & Health Programme, Norwich Research Park, Norfolk, NR4 7UH, UK.
  • Weaver D; Current address: Biosciences Division, SRI International, 333 Ravenswood Ave, Menlo Park, 94025, USA.
  • Karp PD; Bioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, 94025, USA.
BMC Bioinformatics ; 17(1): 529, 2016 Dec 13.
Article em En | MEDLINE | ID: mdl-27964719
ABSTRACT

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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli / Metabolômica Tipo de estudo: Evaluation_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli / Metabolômica Tipo de estudo: Evaluation_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article