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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology
2015
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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. |
format | Online Article Text |
id | pubmed-4506987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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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