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Exon Mapping in Long Noncoding RNAs Using Digital Filters

Long noncoding RNAs (lncRNAs) which were initially dismissed as “transcriptional noise” have become a vital area of study after their roles in biological regulation were discovered. Long noncoding RNAs have been implicated in various developmental processes and diseases. Here, we perform exon mappin...

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Autores principales: George, Tina P, Thomas, Tessamma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624354/
https://www.ncbi.nlm.nih.gov/pubmed/28989280
http://dx.doi.org/10.1177/1178631017732029
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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 Long noncoding RNAs (lncRNAs) which were initially dismissed as “transcriptional noise” have become a vital area of study after their roles in biological regulation were discovered. Long noncoding RNAs have been implicated in various developmental processes and diseases. Here, we perform exon mapping of human lncRNA sequences (taken from National Center for Biotechnology Information GenBank) using digital filters. Antinotch digital filters are used to map out the exons of the lncRNA sequences analyzed. The period 3 property which is an established indicator for locating exons in genes is used here. Discrete wavelet transform filter bank is used to fine-tune the exon plots by selectively removing the spectral noise. The exon locations conform to the ranges specified in GenBank. In addition to exon prediction, G-C concentrations of lncRNA sequences are found, and the sequences are searched for START and STOP codons as these are indicators of coding potential.
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spelling pubmed-56243542017-10-06 Exon Mapping in Long Noncoding RNAs Using Digital Filters George, Tina P Thomas, Tessamma Genomics Insights Original Research Long noncoding RNAs (lncRNAs) which were initially dismissed as “transcriptional noise” have become a vital area of study after their roles in biological regulation were discovered. Long noncoding RNAs have been implicated in various developmental processes and diseases. Here, we perform exon mapping of human lncRNA sequences (taken from National Center for Biotechnology Information GenBank) using digital filters. Antinotch digital filters are used to map out the exons of the lncRNA sequences analyzed. The period 3 property which is an established indicator for locating exons in genes is used here. Discrete wavelet transform filter bank is used to fine-tune the exon plots by selectively removing the spectral noise. The exon locations conform to the ranges specified in GenBank. In addition to exon prediction, G-C concentrations of lncRNA sequences are found, and the sequences are searched for START and STOP codons as these are indicators of coding potential. SAGE Publications 2017-09-29 /pmc/articles/PMC5624354/ /pubmed/28989280 http://dx.doi.org/10.1177/1178631017732029 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
George, Tina P
Thomas, Tessamma
Exon Mapping in Long Noncoding RNAs Using Digital Filters
title Exon Mapping in Long Noncoding RNAs Using Digital Filters
title_full Exon Mapping in Long Noncoding RNAs Using Digital Filters
title_fullStr Exon Mapping in Long Noncoding RNAs Using Digital Filters
title_full_unstemmed Exon Mapping in Long Noncoding RNAs Using Digital Filters
title_short Exon Mapping in Long Noncoding RNAs Using Digital Filters
title_sort exon mapping in long noncoding rnas using digital filters
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624354/
https://www.ncbi.nlm.nih.gov/pubmed/28989280
http://dx.doi.org/10.1177/1178631017732029
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