Evidence map›Paper›PMID 27964719›Full record

ArticleBMC bioinformatics2016

Pathway collages: personalized multi-pathway diagrams.

Suzanne Paley, Paul E O'Maille, Daniel Weaver, Peter D Karp

Abstract readEvaluation Study
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  7. The BioCyc Metabolic Network Explorer.BMC bioinformatics · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Suzanne PaleyBioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, 94025, USA.
Paul E O'MailleJohn Innes Centre, Department of Metabolic Biology, and the Institute of Food Research, Food & Health Programme, Norwich Research Park, Norfolk, NR4 7UH, UK.
Daniel WeaverBioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, 94025, USA.
Peter D KarpBioinformatics Research Group, SRI International, 333 Ravenswood Ave, Menlo Park, 94025, USA. pkarp@ai.sri.com.ORCID http://orcid.org/0000-0002-5876-6418

Funding

Robust Software Components for Model Organism DatabasesR01GM075742 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2005 to 2019
$12.0M
NIGMS NIH HHS R01 GM075742
6 · The paper itself

Abstract

backgroundMetabolic 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?

resultsWe 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.

conclusionsPathway collages enable facile construction of personalized multi-pathway diagrams.

Indexed as

Anti-Bacterial AgentsEscherichia coliMetabolic Networks and PathwaysMetabolomicsModels, BiologicalSoftwareAnti-Bacterial AgentsMetabolic pathwaysPathway diagramVisualization

Identifiers

PMID27964719
PMCPMC5154164

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.