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The power of operon rearrangements for predicting functional associations

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 i...

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Autor principal: Moreno-Hagelsieb, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506987/
https://www.ncbi.nlm.nih.gov/pubmed/26199682
http://dx.doi.org/10.1016/j.csbj.2015.06.002
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author Moreno-Hagelsieb, Gabriel
author_facet Moreno-Hagelsieb, Gabriel
author_sort Moreno-Hagelsieb, Gabriel
collection PubMed
description 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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spelling pubmed-45069872015-07-21 The power of operon rearrangements for predicting functional associations Moreno-Hagelsieb, Gabriel Comput Struct Biotechnol J Mini Review 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. Research Network of Computational and Structural Biotechnology 2015-07-02 /pmc/articles/PMC4506987/ /pubmed/26199682 http://dx.doi.org/10.1016/j.csbj.2015.06.002 Text en © 2015 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Mini Review
Moreno-Hagelsieb, Gabriel
The power of operon rearrangements for predicting functional associations
title The power of operon rearrangements for predicting functional associations
title_full The power of operon rearrangements for predicting functional associations
title_fullStr The power of operon rearrangements for predicting functional associations
title_full_unstemmed The power of operon rearrangements for predicting functional associations
title_short The power of operon rearrangements for predicting functional associations
title_sort power of operon rearrangements for predicting functional associations
topic Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506987/
https://www.ncbi.nlm.nih.gov/pubmed/26199682
http://dx.doi.org/10.1016/j.csbj.2015.06.002
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