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COMIT: identification of noncoding motifs under selection in coding sequences
Coding nucleotide sequences contain myriad functions independent of their encoded protein sequences. We present the COMIT algorithm to detect functional noncoding motifs in coding regions using sequence conservation, explicitly separating nucleotide from amino acid effects. COMIT concurs with divers...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091326/ https://www.ncbi.nlm.nih.gov/pubmed/19930548 http://dx.doi.org/10.1186/gb-2009-10-11-r133 |
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author | Kural, Deniz Ding, Yang Wu, Jiantao Korpi, Alicia M Chuang, Jeffrey H |
author_facet | Kural, Deniz Ding, Yang Wu, Jiantao Korpi, Alicia M Chuang, Jeffrey H |
author_sort | Kural, Deniz |
collection | PubMed |
description | Coding nucleotide sequences contain myriad functions independent of their encoded protein sequences. We present the COMIT algorithm to detect functional noncoding motifs in coding regions using sequence conservation, explicitly separating nucleotide from amino acid effects. COMIT concurs with diverse experimental datasets, including splicing enhancers, silencers, replication motifs, and microRNA targets, and predicts many novel functional motifs. Intriguingly, COMIT scores are well-correlated to scores uncalibrated for amino acids, suggesting that nucleotide motifs often override peptide-level constraints. |
format | Text |
id | pubmed-3091326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30913262011-05-10 COMIT: identification of noncoding motifs under selection in coding sequences Kural, Deniz Ding, Yang Wu, Jiantao Korpi, Alicia M Chuang, Jeffrey H Genome Biol Method Coding nucleotide sequences contain myriad functions independent of their encoded protein sequences. We present the COMIT algorithm to detect functional noncoding motifs in coding regions using sequence conservation, explicitly separating nucleotide from amino acid effects. COMIT concurs with diverse experimental datasets, including splicing enhancers, silencers, replication motifs, and microRNA targets, and predicts many novel functional motifs. Intriguingly, COMIT scores are well-correlated to scores uncalibrated for amino acids, suggesting that nucleotide motifs often override peptide-level constraints. BioMed Central 2009 2009-11-20 /pmc/articles/PMC3091326/ /pubmed/19930548 http://dx.doi.org/10.1186/gb-2009-10-11-r133 Text en Copyright ©2009 Kural et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Kural, Deniz Ding, Yang Wu, Jiantao Korpi, Alicia M Chuang, Jeffrey H COMIT: identification of noncoding motifs under selection in coding sequences |
title | COMIT: identification of noncoding motifs under selection in coding sequences |
title_full | COMIT: identification of noncoding motifs under selection in coding sequences |
title_fullStr | COMIT: identification of noncoding motifs under selection in coding sequences |
title_full_unstemmed | COMIT: identification of noncoding motifs under selection in coding sequences |
title_short | COMIT: identification of noncoding motifs under selection in coding sequences |
title_sort | comit: identification of noncoding motifs under selection in coding sequences |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091326/ https://www.ncbi.nlm.nih.gov/pubmed/19930548 http://dx.doi.org/10.1186/gb-2009-10-11-r133 |
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