Evidence map›Paper›PMID 24068901›Full record

ArticlePLoS computational biology2013

Using biological pathway data with paxtools.

Emek Demir, Ozgün Babur, Igor Rodchenkov, Bülent Arman Aksoy, Ken I Fukuda, Benjamin Gross, Onur Selçuk Sümer, Gary D Bader, Chris Sander

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

38 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. BioPAX in 2024: Where we are and where we are heading.Computational and structural biotechnology journal · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Heuristic shortest hyperpaths in cell signaling hypergraphs.Algorithms for molecular biology : AMB · 2022
    Article
  9. PyBioPAX: biological pathway exchange in Python.Journal of open source software · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  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 at 3 institutions in 3 countries.

Emek DemirComputational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
Ozgün Babur
Igor Rodchenkov
Bülent Arman Aksoy
Ken I Fukuda
Benjamin Gross
Onur Selçuk Sümer
Gary D Bader
Chris Sander
Memorial Sloan Kettering Cancer Center · USUniversity of Toronto · CANational Institute of Advanced Industrial Science and Technology · JP

Funding

Pathway Commons: Research Resource for Biological PathwaysU41HG006623 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2012 to 2017
$5.7M
NHGRI NIH HHS 5U41 HG006623-02NHGRI NIH HHS U41 HG006623
6 · The paper itself

Abstract

A rapidly growing corpus of formal, computable pathway information can be used to answer important biological questions including finding non-trivial connections between cellular processes, identifying significantly altered portions of the cellular network in a disease state and building predictive models that can be used for precision medicine. Due to its complexity and fragmented nature, however, working with pathway data is still difficult. We present Paxtools, a Java library that contains algorithms, software components and converters for biological pathways represented in the standard BioPAX language. Paxtools allows scientists to focus on their scientific problem by removing technical barriers to access and analyse pathway information. Paxtools can run on any platform that has a Java Runtime Environment and was tested on most modern operating systems. Paxtools is open source and is available under the Lesser GNU public license (LGPL), which allows users to freely use the code in their software systems with a requirement for attribution. Source code for the current release (4.2.0) can be found in Software S1. A detailed manual for obtaining and using Paxtools can be found in Protocol S1. The latest sources and release bundles can be obtained from biopax.org/paxtools.

Indexed as

Programming LanguagesAlgorithmsComputational Biology

Identifiers

PMID24068901
PMCPMC3777916
OpenAlexW1986365650

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.