Evidence map›Paper›PMID 33045728›Full record

ArticleNucleic acids research2021

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.

Kevin Rychel, Katherine Decker, Anand V Sastry, Patrick V Phaneuf, Saugat Poudel, Bernhard O Palsson

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
–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

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Transcript-Capture sequencing enriches mRNA ofbioRxiv : the preprint server for biology · 2025
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16 more citing papers are in PubMed but not listed here.

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

6 authors.

Kevin RychelDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Katherine DeckerDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Anand V SastryDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Patrick V PhaneufBioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA.
Saugat PoudelDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Independent component analysis (ICA) of bacterial transcriptomes has emerged as a powerful tool for obtaining co-regulated, independently-modulated gene sets (iModulons), inferring their activities across a range of conditions, and enabling their association to known genetic regulators. By grouping and analyzing genes based on observations from big data alone, iModulons can provide a novel perspective into how the composition of the transcriptome adapts to environmental conditions. Here, we present iModulonDB (imodulondb.org), a knowledgebase of prokaryotic transcriptional regulation computed from high-quality transcriptomic datasets using ICA. Users select an organism from the home page and then search or browse the curated iModulons that make up its transcriptome. Each iModulon and gene has its own interactive dashboard, featuring plots and tables with clickable, hoverable, and downloadable features. This site enhances research by presenting scientists of all backgrounds with co-expressed gene sets and their activity levels, which lead to improved understanding of regulator-gene relationships, discovery of transcription factors, and the elucidation of unexpected relationships between conditions and genetic regulatory activity. The current release of iModulonDB covers three organisms (Escherichia coli, Staphylococcus aureus and Bacillus subtilis) with 204 iModulons, and can be expanded to cover many additional organisms.

Indexed as

Databases, GeneticGene Expression Regulation, BacterialKnowledge BasesMachine LearningTranscriptomeBacillus subtilisBacterial ProteinsEscherichia coliGene Expression ProfilingGene Regulatory NetworksInternetSoftwareStaphylococcus aureusTranscription FactorsTranscription, GeneticBacterial ProteinsTranscription Factors

Identifiers

PMID33045728
PMCPMC7778901

What OpenQuestion holds

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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.