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Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes
Research into new methods for identifying highly expressed genes in anonymous genome sequences has been going on for more than 15 years. We presented here an alternative approach based on modified score of relative codon usage bias to identify highly expressed genes in crenarchaeal genomes. The prop...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389947/ https://www.ncbi.nlm.nih.gov/pubmed/28416948 http://dx.doi.org/10.5808/GI.2017.15.1.38 |
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author | Das, Shibsankar Chottopadhyay, Brajadulal Sahoo, Satyabrata |
author_facet | Das, Shibsankar Chottopadhyay, Brajadulal Sahoo, Satyabrata |
author_sort | Das, Shibsankar |
collection | PubMed |
description | Research into new methods for identifying highly expressed genes in anonymous genome sequences has been going on for more than 15 years. We presented here an alternative approach based on modified score of relative codon usage bias to identify highly expressed genes in crenarchaeal genomes. The proposed algorithm relies exclusively on sequence features for identifying the highly expressed genes. In this study, a comparative analysis of predicted highly expressed genes in five crenarchaeal genomes was performed using the score of Modified Relative Codon Bias Strength (MRCBS) as a numerical estimator of gene expression level. We found a systematic strong correlation between Codon Adaptation Index and MRCBS. Additionally, MRCBS correlated well with other expression measures. Our study indicates that MRCBS can consistently capture the highly expressed genes. |
format | Online Article Text |
id | pubmed-5389947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-53899472017-04-17 Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes Das, Shibsankar Chottopadhyay, Brajadulal Sahoo, Satyabrata Genomics Inform Original Article Research into new methods for identifying highly expressed genes in anonymous genome sequences has been going on for more than 15 years. We presented here an alternative approach based on modified score of relative codon usage bias to identify highly expressed genes in crenarchaeal genomes. The proposed algorithm relies exclusively on sequence features for identifying the highly expressed genes. In this study, a comparative analysis of predicted highly expressed genes in five crenarchaeal genomes was performed using the score of Modified Relative Codon Bias Strength (MRCBS) as a numerical estimator of gene expression level. We found a systematic strong correlation between Codon Adaptation Index and MRCBS. Additionally, MRCBS correlated well with other expression measures. Our study indicates that MRCBS can consistently capture the highly expressed genes. Korea Genome Organization 2017-03 2017-03-29 /pmc/articles/PMC5389947/ /pubmed/28416948 http://dx.doi.org/10.5808/GI.2017.15.1.38 Text en Copyright © 2017 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/4.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/). |
spellingShingle | Original Article Das, Shibsankar Chottopadhyay, Brajadulal Sahoo, Satyabrata Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes |
title | Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes |
title_full | Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes |
title_fullStr | Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes |
title_full_unstemmed | Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes |
title_short | Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes |
title_sort | comparative analysis of predicted gene expression among crenarchaeal genomes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389947/ https://www.ncbi.nlm.nih.gov/pubmed/28416948 http://dx.doi.org/10.5808/GI.2017.15.1.38 |
work_keys_str_mv | AT dasshibsankar comparativeanalysisofpredictedgeneexpressionamongcrenarchaealgenomes AT chottopadhyaybrajadulal comparativeanalysisofpredictedgeneexpressionamongcrenarchaealgenomes AT sahoosatyabrata comparativeanalysisofpredictedgeneexpressionamongcrenarchaealgenomes |