ReviewComputational and structural biotechnology journal2015
The power of operon rearrangements for predicting functional associations.
Review in Computational and structural biotechnology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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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.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Unveiling multiple copies of MlaC highlights its multifaceted nature.Archives of microbiology · 2025Article
- The protein interactome of the citrus Huanglongbing pathogen Candidatus Liberibacter asiaticus.Nature communications · 2023Article
- (p)ppGpp and moonlighting RNases influence the first step of lipopolysaccharide biosynthesis inmicroLife · 2023Article
- Metaproteomics as a tool for studying the protein landscape of human-gut bacterial species.PLoS computational biology · 2022Article
- Identification of Glycoside Transporters From the Human Gut Microbiome.Frontiers in microbiology · 2022Article
- Prediction and analysis of metagenomic operons via MetaRon: a pipeline for prediction of Metagenome and whole-genome opeRons.BMC genomics · 2021Article
- CoMetGeNe: mining conserved neighborhood patterns in metabolic and genomic contexts.BMC bioinformatics · 2019Article
- Pleiotropy, cooperation, and the social evolution of genetic architecture.PLoS biology · 2018Article
- Article
- The genes of the sulphoquinovose catabolism in Escherichia coli are also associated with a previously unknown pathway of lactose degradation.Scientific reports · 2018Article
- Functional Annotations of Paralogs: A Blessing and a Curse.Life (Basel, Switzerland) · 2016Article
- Investigating Evolutionary Dynamics of RHA1 Operons.Evolutionary bioinformatics online · 2016Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this mini-review I aim to make the case that operons might be the most powerful source for predicted associations among gene products. Such associations can help identify potential processes where the products of unannotated genes might play a role. The power of the operon for providing insight into functional associations stems from four features: (1) on average, around 60% of the genes in prokaryotes are associated into operons; (2) the functional associations between genes in operons tend to be highly conserved; (3) operons can be predicted with high accuracy by conservation of gene order and by the distances between adjacent genes in the same DNA strand; and (4) operons frequently reorganize, providing further insight into functional associations that would not be evident without these reorganization events.
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What OpenQuestion holds
Registered trials
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.