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PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions
Motivation: As high-throughput transcriptome sequencing provides evidence for novel transcripts in many species, there is a renewed need for accurate methods to classify small genomic regions as protein coding or non-coding. We present PhyloCSF, a novel comparative genomics method that analyzes a mu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117341/ https://www.ncbi.nlm.nih.gov/pubmed/21685081 http://dx.doi.org/10.1093/bioinformatics/btr209 |
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author | Lin, Michael F. Jungreis, Irwin Kellis, Manolis |
author_facet | Lin, Michael F. Jungreis, Irwin Kellis, Manolis |
author_sort | Lin, Michael F. |
collection | PubMed |
description | Motivation: As high-throughput transcriptome sequencing provides evidence for novel transcripts in many species, there is a renewed need for accurate methods to classify small genomic regions as protein coding or non-coding. We present PhyloCSF, a novel comparative genomics method that analyzes a multispecies nucleotide sequence alignment to determine whether it is likely to represent a conserved protein-coding region, based on a formal statistical comparison of phylogenetic codon models. Results: We show that PhyloCSF's classification performance in 12-species Drosophila genome alignments exceeds all other methods we compared in a previous study. We anticipate that this method will be widely applicable as the transcriptomes of many additional species, tissues and subcellular compartments are sequenced, particularly in the context of ENCODE and modENCODE, and as interest grows in long non-coding RNAs, often initially recognized by their lack of protein coding potential rather than conserved RNA secondary structures. Availability and Implementation: The Objective Caml source code and executables for GNU/Linux and Mac OS X are freely available at http://compbio.mit.edu/PhyloCSF Contact: mlin@mit.edu; manoli@mit.edu |
format | Online Article Text |
id | pubmed-3117341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31173412011-06-17 PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions Lin, Michael F. Jungreis, Irwin Kellis, Manolis Bioinformatics Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria Motivation: As high-throughput transcriptome sequencing provides evidence for novel transcripts in many species, there is a renewed need for accurate methods to classify small genomic regions as protein coding or non-coding. We present PhyloCSF, a novel comparative genomics method that analyzes a multispecies nucleotide sequence alignment to determine whether it is likely to represent a conserved protein-coding region, based on a formal statistical comparison of phylogenetic codon models. Results: We show that PhyloCSF's classification performance in 12-species Drosophila genome alignments exceeds all other methods we compared in a previous study. We anticipate that this method will be widely applicable as the transcriptomes of many additional species, tissues and subcellular compartments are sequenced, particularly in the context of ENCODE and modENCODE, and as interest grows in long non-coding RNAs, often initially recognized by their lack of protein coding potential rather than conserved RNA secondary structures. Availability and Implementation: The Objective Caml source code and executables for GNU/Linux and Mac OS X are freely available at http://compbio.mit.edu/PhyloCSF Contact: mlin@mit.edu; manoli@mit.edu Oxford University Press 2011-07-01 2011-06-14 /pmc/articles/PMC3117341/ /pubmed/21685081 http://dx.doi.org/10.1093/bioinformatics/btr209 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria Lin, Michael F. Jungreis, Irwin Kellis, Manolis PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions |
title | PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions |
title_full | PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions |
title_fullStr | PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions |
title_full_unstemmed | PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions |
title_short | PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions |
title_sort | phylocsf: a comparative genomics method to distinguish protein coding and non-coding regions |
topic | Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117341/ https://www.ncbi.nlm.nih.gov/pubmed/21685081 http://dx.doi.org/10.1093/bioinformatics/btr209 |
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