Evidence map›Paper›PMID 25254103›Full record

ArticleF1000Research2014

WikiPathways App for Cytoscape: Making biological pathways amenable to network analysis and visualization.

Martina Kutmon, Samad Lotia, Chris T Evelo, Alexander R Pico

Abstract read
In one paragraph

Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Mapping the influence of hydrocarbons mixture on molecular mechanisms, involved in breast and lung neoplasms: in silico toxicogenomic data-mining.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023
    Review
  13. Review
  14. Article
  15. Article
  16. Perspectives for better batch effect correction in mass-spectrometry-based proteomics.Computational and structural biotechnology journal · 2022
    Review
  17. Article
  18. Article
  19. Review
  20. Article
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.

Martina KutmonDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, 6229 ER, Netherlands.
Samad LotiaGladstone Institutes, San Francisco, CA 94158-2261, USA.
Chris T EveloDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, 6229 ER, Netherlands.
Alexander R PicoGladstone Institutes, San Francisco, CA 94158-2261, USA.

Funding

SOC CoreU54DA036134 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI GALAS, DAVID J., GERSTEIN, MARK BENDER · 2013 to 2018
$15.0M
WikiPathways Project: At the Intersection of Big Data and Researcher KnowledgeR01GM100039 · NIGMS · J. DAVID GLADSTONE INSTITUTES · PI PICO, ALEXANDER R · 2012 to 2020
$3.4M
NIDA NIH HHS U54 DA036134NIGMS NIH HHS R01 GM100039
6 · The paper itself

Abstract

In this paper we present the open-source WikiPathways app for Cytoscape ( http://apps.cytoscape.org/apps/wikipathways) that can be used to import biological pathways for data visualization and network analysis. WikiPathways is an open, collaborative biological pathway database that provides fully annotated pathway diagrams for manual download or through web services. The WikiPathways app allows users to load pathways in two different views: as an annotated pathway ideal for data visualization and as a simple network to perform computational analysis. An example pathway and dataset are used to demonstrate the functionality of the WikiPathways app and how they can be combined and used together with other apps. More than 3000 downloads in the first 12 months following its release in August 2013 highlight the importance and adoption of the app in the network biology field.

Identifiers

PMID25254103
PMCPMC4168754

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Registered trials

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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.