Evidence map›Paper›PMID 21886098›Full record

ArticleNature protocols2011

Assembling global maps of cellular function through integrative analysis of physical and genetic networks.

Rohith Srivas, Gregory Hannum, Johannes Ruscheinski, Keiichoro Ono, Peng-Liang Wang, Michael Smoot, Trey Ideker

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2011. 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
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Rohith SrivasDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Gregory Hannum
Johannes Ruscheinski
Keiichoro Ono
Peng-Liang Wang
Michael Smoot
Trey Ideker
University of California, San Diego · US

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
Cytoscape: A Modeling Platform for Biomolecular NetworksR01GM070743 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2004 to 2016
$5.7M
RESOURCE FOR ANALYSIS, VIZUALIZATION, AND INTEGRATION OF NETWORKS (RAVIN)P41RR031228 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2010 to 2011
$3.0M
NCRR NIH HHS P41 RR031228NIGMS NIH HHS GM070743NIGMS NIH HHS P41 GM103504NIGMS NIH HHS R01 GM070743
6 · The paper itself

Abstract

To take full advantage of high-throughput genetic and physical interaction mapping projects, the raw interactions must first be assembled into models of cell structure and function. PanGIA (for physical and genetic interaction alignment) is a plug-in for the bioinformatics platform Cytoscape, designed to integrate physical and genetic interactions into hierarchical module maps. PanGIA identifies 'modules' as sets of proteins whose physical and genetic interaction data matches that of known protein complexes. Higher-order functional cooperativity and redundancy is identified by enrichment for genetic interactions across modules. This protocol begins with importing interaction networks into Cytoscape, followed by filtering and basic network visualization. Next, PanGIA is used to infer a set of modules and their functional inter-relationships. This module map is visualized in a number of intuitive ways, and modules are tested for functional enrichment and overlap with known complexes. The full protocol can be completed between 10 and 30 min, depending on the size of the data set being analyzed.

Indexed as

Models, BiologicalModels, GeneticSoftwareComputational BiologyGene Regulatory NetworksProtein Interaction MappingUser-Computer Interface

Identifiers

PMID21886098
PMCPMC3383003
OpenAlexW1967154131

What OpenQuestion holds

Textmetadata
LicenceTDM
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.