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CEPiNS: Conserved Exon Prediction in Novel Species

Exon structure is relatively well conserved among orthologs in several large clades of species (e.g. Mammalia, Diptera, Lepidoptera) across evolutionary distances of up to 80 million years. Thus, it should be straightforward to predict the exon structures in novel species based upon the known exon s...

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Detalles Bibliográficos
Autores principales: Hasan, Shihab, Wheat, Christopher W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602892/
https://www.ncbi.nlm.nih.gov/pubmed/23519394
http://dx.doi.org/10.6026/97320630009210
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author Hasan, Shihab
Wheat, Christopher W
author_facet Hasan, Shihab
Wheat, Christopher W
author_sort Hasan, Shihab
collection PubMed
description Exon structure is relatively well conserved among orthologs in several large clades of species (e.g. Mammalia, Diptera, Lepidoptera) across evolutionary distances of up to 80 million years. Thus, it should be straightforward to predict the exon structures in novel species based upon the known exon structures of species that have had their genomes sequenced and well assembled. Being able to predict the exon boundaries in the genes of novel species is important given the quickly growing numbers of transcriptome sequencing projects. CEPiNS is a new pipeline for mining exon boundaries of predicted gene sets from model species and then using this information to identify the exon boundaries in a novel species through codon based alignment. The pipeline uses the freeware SPIDEY, an exon boundary prediction tool, and BLAST (BLASTN, BLASTP, TBLASTX), both of which are part of NCBI’s toolkit. CEPiNS provides an important tool to analyze the transcriptome of novel species.
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spelling pubmed-36028922013-03-21 CEPiNS: Conserved Exon Prediction in Novel Species Hasan, Shihab Wheat, Christopher W Bioinformation Software Exon structure is relatively well conserved among orthologs in several large clades of species (e.g. Mammalia, Diptera, Lepidoptera) across evolutionary distances of up to 80 million years. Thus, it should be straightforward to predict the exon structures in novel species based upon the known exon structures of species that have had their genomes sequenced and well assembled. Being able to predict the exon boundaries in the genes of novel species is important given the quickly growing numbers of transcriptome sequencing projects. CEPiNS is a new pipeline for mining exon boundaries of predicted gene sets from model species and then using this information to identify the exon boundaries in a novel species through codon based alignment. The pipeline uses the freeware SPIDEY, an exon boundary prediction tool, and BLAST (BLASTN, BLASTP, TBLASTX), both of which are part of NCBI’s toolkit. CEPiNS provides an important tool to analyze the transcriptome of novel species. Biomedical Informatics 2013-02-21 /pmc/articles/PMC3602892/ /pubmed/23519394 http://dx.doi.org/10.6026/97320630009210 Text en © 2013 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Software
Hasan, Shihab
Wheat, Christopher W
CEPiNS: Conserved Exon Prediction in Novel Species
title CEPiNS: Conserved Exon Prediction in Novel Species
title_full CEPiNS: Conserved Exon Prediction in Novel Species
title_fullStr CEPiNS: Conserved Exon Prediction in Novel Species
title_full_unstemmed CEPiNS: Conserved Exon Prediction in Novel Species
title_short CEPiNS: Conserved Exon Prediction in Novel Species
title_sort cepins: conserved exon prediction in novel species
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602892/
https://www.ncbi.nlm.nih.gov/pubmed/23519394
http://dx.doi.org/10.6026/97320630009210
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