Evidence map›Paper›PMID 26313928›Full record

ArticlePLoS computational biology2015

Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways.

Zachary A King, Andreas Dräger, Ali Ebrahim, Nikolaus Sonnenschein, Nathan E Lewis, Bernhard O Palsson

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers.

0numbers the graph read from it
0cells of the map it votes in
193citing 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

193 citing papers in PubMed.

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  14. COBRAxy: constraint-based metabolic modeling in Galaxy.Bioinformatics (Oxford, England) · 2026
    Article
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  20. Dynamic Constrained Allocation Flux Balance Analysis (dCAFBA).Methods in molecular biology (Clifton, N.J.) · 2026
    Article

133 more citing papers are in PubMed but not listed here.

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

6 authors.

Zachary A KingDepartment of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
Andreas DrägerDepartment of Bioengineering, University of California, San Diego, La Jolla, California, United States of America; Center for Bioinformatics Tuebingen (ZBIT), University of Tuebingen, Tübingen, Germany.
Ali EbrahimDepartment of Bioengineering, University of California, San Diego, La Jolla, California, United States of America.
Nikolaus SonnenscheinNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.
Nathan E LewisDepartment of Pediatrics, University of California, San Diego, La Jolla, California, United States of America.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, California, United States of America; Department of Pediatrics, University of California, San Diego, La Jolla, California, United States of America.

Funding

Exploring Oligosaccharide Synthesis in Human Mammary Gland Epithelial CellsR21HD080682 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BODE, LARS · 2015 to 2016
$424k
NICHD NIH HHS R21 HD080682
6 · The paper itself

Abstract

Escher is a web application for visualizing data on biological pathways. Three key features make Escher a uniquely effective tool for pathway visualization. First, users can rapidly design new pathway maps. Escher provides pathway suggestions based on user data and genome-scale models, so users can draw pathways in a semi-automated way. Second, users can visualize data related to genes or proteins on the associated reactions and pathways, using rules that define which enzymes catalyze each reaction. Thus, users can identify trends in common genomic data types (e.g. RNA-Seq, proteomics, ChIP)--in conjunction with metabolite- and reaction-oriented data types (e.g. metabolomics, fluxomics). Third, Escher harnesses the strengths of web technologies (SVG, D3, developer tools) so that visualizations can be rapidly adapted, extended, shared, and embedded. This paper provides examples of each of these features and explains how the development approach used for Escher can be used to guide the development of future visualization tools.

Indexed as

Computer GraphicsInternetSoftwareComputational BiologyImage Processing, Computer-AssistedMetabolic Networks and PathwaysModels, BiologicalSignal TransductionTranscriptome

Identifiers

PMID26313928
PMCPMC4552468

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.