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Pathway collages: personalized multi-pathway diagrams
- Source :
- BMC Bioinformatics
- Publication Year :
- 2016
- Publisher :
- BioMed Central, 2016.
-
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.
- Subjects :
- 0301 basic medicine
Theoretical computer science
Computer science
0206 medical engineering
Metabolic network
02 engineering and technology
JavaScript
Biochemistry
Pathway diagram
Models, Biological
Set (abstract data type)
03 medical and health sciences
Software
Structural Biology
Human–computer interaction
Escherichia coli
Biochemical reactions
Metabolomics
Molecular Biology
computer.programming_language
Visualization
business.industry
Applied Mathematics
Construct (python library)
Computer Science Applications
Anti-Bacterial Agents
Metabolic pathway
030104 developmental biology
Metabolic pathways
DNA microarray
business
computer
Flux (metabolism)
020602 bioinformatics
Metabolic Networks and Pathways
Subjects
Details
- Language :
- English
- ISSN :
- 14712105
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics
- Accession number :
- edsair.doi.dedup.....320856ae8735b0babe351d1d3a003a16