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Novel Approach to Analyzing MFE of Noncoding RNA Sequences
Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029481/ https://www.ncbi.nlm.nih.gov/pubmed/27695341 http://dx.doi.org/10.4137/GEI.S39995 |
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author | George, Tina P. Thomas, Tessamma |
author_facet | George, Tina P. Thomas, Tessamma |
author_sort | George, Tina P. |
collection | PubMed |
description | Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure of ncRNA was found based on the thermodynamic nearest neighbor model. MFE of over 2600 ncRNA sequences was analyzed in view of its signal properties. Mathematical models linking MFE to the signal properties were found for each of the four classes of ncRNA analyzed. MFE values computed with the proposed models were in concordance with those obtained with the standard web servers. A total of 95% of the sequences analyzed had deviation of MFE values within ±15% relative to those obtained from standard web servers. |
format | Online Article Text |
id | pubmed-5029481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-50294812016-09-30 Novel Approach to Analyzing MFE of Noncoding RNA Sequences George, Tina P. Thomas, Tessamma Genomics Insights Original Research Genomic studies have become noncoding RNA (ncRNA) centric after the study of different genomes provided enormous information on ncRNA over the past decades. The function of ncRNA is decided by its secondary structure, and across organisms, the secondary structure is more conserved than the sequence itself. In this study, the optimal secondary structure or the minimum free energy (MFE) structure of ncRNA was found based on the thermodynamic nearest neighbor model. MFE of over 2600 ncRNA sequences was analyzed in view of its signal properties. Mathematical models linking MFE to the signal properties were found for each of the four classes of ncRNA analyzed. MFE values computed with the proposed models were in concordance with those obtained with the standard web servers. A total of 95% of the sequences analyzed had deviation of MFE values within ±15% relative to those obtained from standard web servers. Libertas Academica 2016-09-18 /pmc/articles/PMC5029481/ /pubmed/27695341 http://dx.doi.org/10.4137/GEI.S39995 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License. |
spellingShingle | Original Research George, Tina P. Thomas, Tessamma Novel Approach to Analyzing MFE of Noncoding RNA Sequences |
title | Novel Approach to Analyzing MFE of Noncoding RNA Sequences |
title_full | Novel Approach to Analyzing MFE of Noncoding RNA Sequences |
title_fullStr | Novel Approach to Analyzing MFE of Noncoding RNA Sequences |
title_full_unstemmed | Novel Approach to Analyzing MFE of Noncoding RNA Sequences |
title_short | Novel Approach to Analyzing MFE of Noncoding RNA Sequences |
title_sort | novel approach to analyzing mfe of noncoding rna sequences |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029481/ https://www.ncbi.nlm.nih.gov/pubmed/27695341 http://dx.doi.org/10.4137/GEI.S39995 |
work_keys_str_mv | AT georgetinap novelapproachtoanalyzingmfeofnoncodingrnasequences AT thomastessamma novelapproachtoanalyzingmfeofnoncodingrnasequences |