Evidence map›Paper›PMID 27203685›Full record

ArticlePLoS computational biology2016

Reactome from a WikiPathways Perspective.

Anwesha Bohler, Guanming Wu, Martina Kutmon, Leontius Adhika Pradhana, Susan L Coort, Kristina Hanspers, Robin Haw, Alexander R Pico, Chris T Evelo

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Human mutation · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Using the Reactome Database.Current protocols · 2023
    Article
  6. Microbiome and Metabolomics in Liver Cancer: Scientific Technology.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. WikiPathways: connecting communities.Nucleic acids research · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  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

9 authors.

Anwesha BohlerDepartment of Bioinformatics-BiGCaT, Maastricht University, Maastricht, The Netherlands.
Guanming WuOntario Institute for Cancer Research, MaRS Centre, Toronto, Ontario, Canada.
Martina KutmonDepartment of Bioinformatics-BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-7699-8191
Leontius Adhika PradhanaDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Republic of Singapore.
Susan L CoortDepartment of Bioinformatics-BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-1224-9690
Kristina HanspersGladstone Institutes, San Francisco, California, United States of America.
Robin HawOntario Institute for Cancer Research, MaRS Centre, Toronto, Ontario, Canada.
Alexander R PicoGladstone Institutes, San Francisco, California, United States of America.
Chris T EveloDepartment of Bioinformatics-BiGCaT, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-5301-3142

Funding

TRAININGU54GM114833 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LINDSEY, MERRY L., PING, PEIPEI · 2014 to 2017
$13.8M
Reactome: An Open Knowledgebase of Human PathwaysP41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2007 to 2011
$4.5M
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
NHGRI NIH HHS P41 HG003751NIGMS NIH HHS R01 GM100039NIGMS NIH HHS U54 GM114833
6 · The paper itself

Abstract

Reactome and WikiPathways are two of the most popular freely available databases for biological pathways. Reactome pathways are centrally curated with periodic input from selected domain experts. WikiPathways is a community-based platform where pathways are created and continually curated by any interested party. The nascent collaboration between WikiPathways and Reactome illustrates the mutual benefits of combining these two approaches. We created a format converter that converts Reactome pathways to the GPML format used in WikiPathways. In addition, we developed the ComplexViz plugin for PathVisio which simplifies looking up complex components. The plugin can also score the complexes on a pathway based on a user defined criterion. This score can then be visualized on the complex nodes using the visualization options provided by the plugin. Using the merged collection of curated and converted Reactome pathways, we demonstrate improved pathway coverage of relevant biological processes for the analysis of a previously described polycystic ovary syndrome gene expression dataset. Additionally, this conversion allows researchers to visualize their data on Reactome pathways using PathVisio's advanced data visualization functionalities. WikiPathways benefits from the dedicated focus and attention provided to the content converted from Reactome and the wealth of semantic information about interactions. Reactome in turn benefits from the continuous community curation available on WikiPathways. The research community at large benefits from the availability of a larger set of pathways for analysis in PathVisio and Cytoscape. The pathway statistics results obtained from PathVisio are significantly better when using a larger set of candidate pathways for analysis. The conversion serves as a general model for integration of multiple pathway resources developed using different approaches.

Indexed as

Metabolic Networks and PathwaysModels, BiologicalSoftwareComputational BiologyComputer GraphicsDatabases, FactualGene OntologyHumansInternetKnowledge Bases

Identifiers

PMID27203685
PMCPMC4874630

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.