Evidence map›Paper›PMID 25873626›Full record

ArticleNucleic acids research2015

cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism.

David J Reiss, Christopher L Plaisier, Wei-Ju Wu, Nitin S Baliga

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
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  3. Predicting fitness inFrontiers in tuberculosis · 2025
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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

4 authors.

David J ReissInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA dreiss@systemsbiology.org.
Christopher L PlaisierInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
Wei-Ju WuInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
Nitin S BaligaInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA Department of Microbiology, University of Washington, Seattle, WA 98103, USA nbaliga@systemsbiology.org.

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DUDLEY, AIMEE M · 2006 to 2016
$30.6M
NIAID NIH HHS U 19 AI10676NIGMS NIH HHS P50GM076547
6 · The paper itself

Abstract

The cMonkey integrated biclustering algorithm identifies conditionally co-regulated modules of genes (biclusters). cMonkey integrates various orthogonal pieces of information which support evidence of gene co-regulation, and optimizes biclusters to be supported simultaneously by one or more of these prior constraints. The algorithm served as the cornerstone for constructing the first global, predictive Environmental Gene Regulatory Influence Network (EGRIN) model for a free-living cell, and has now been applied to many more organisms. However, due to its computational inefficiencies, long run-time and complexity of various input data types, cMonkey was not readily usable by the wider community. To address these primary concerns, we have significantly updated the cMonkey algorithm and refactored its implementation, improving its usability and extendibility. These improvements provide a fully functioning and user-friendly platform for building co-regulated gene modules and the tools necessary for their exploration and interpretation. We show, via three separate analyses of data for E. coli, M. tuberculosis and H. sapiens, that the updated algorithm and inclusion of novel scoring functions for new data types (e.g. ChIP-seq and transcription factor over-expression [TFOE]) improve discovery of biologically informative co-regulated modules. The complete cMonkey2 software package, including source code, is available at https://github.com/baliga-lab/cmonkey2.

Indexed as

Gene Expression RegulationSoftwareAlgorithmsCarcinoma, Squamous CellChromatin ImmunoprecipitationEscherichia coliGene Expression Regulation, BacterialLung NeoplasmsMycobacterium tuberculosisRegulonSequence Analysis, DNATranscription FactorsTranscription Factors

Identifiers

PMID25873626
PMCPMC4513845

What OpenQuestion holds

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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.