A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons

<p>Abstract</p> <p>Background</p> <p>An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expression studies when alternative splicing only occurs under specific...

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Main Authors: Salzberg Steven L, Allen Jonathan E
Format: Article
Language:English
Published: BMC 2006-08-01
Series:Algorithms for Molecular Biology
Online Access:http://www.almob.org/content/1/1/14
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author Salzberg Steven L
Allen Jonathan E
author_facet Salzberg Steven L
Allen Jonathan E
author_sort Salzberg Steven L
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expression studies when alternative splicing only occurs under specific biological conditions. Non-expression based computational methods support identification of rarely expressed transcripts.</p> <p>Results</p> <p>A non-expression based statistical method is presented to annotate alternatively spliced exons using a single genome sequence and evidence from cross-species sequence conservation. The computational method is implemented in the program ExAlt and an analysis of prediction accuracy is given for <it>Drosophila melanogaster</it>.</p> <p>Conclusion</p> <p>ExAlt identifies the structure of most alternatively spliced exons in the test set and cross-species sequence conservation is shown to improve the precision of predictions. The software package is available to run on <it>Drosophila </it>genomes to search for new cases of alternative splicing.</p>
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spelling doaj.art-a59ceed7b2e747cca7dbca4cf87eed622022-12-22T02:59:24ZengBMCAlgorithms for Molecular Biology1748-71882006-08-01111410.1186/1748-7188-1-14A phylogenetic generalized hidden Markov model for predicting alternatively spliced exonsSalzberg Steven LAllen Jonathan E<p>Abstract</p> <p>Background</p> <p>An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expression studies when alternative splicing only occurs under specific biological conditions. Non-expression based computational methods support identification of rarely expressed transcripts.</p> <p>Results</p> <p>A non-expression based statistical method is presented to annotate alternatively spliced exons using a single genome sequence and evidence from cross-species sequence conservation. The computational method is implemented in the program ExAlt and an analysis of prediction accuracy is given for <it>Drosophila melanogaster</it>.</p> <p>Conclusion</p> <p>ExAlt identifies the structure of most alternatively spliced exons in the test set and cross-species sequence conservation is shown to improve the precision of predictions. The software package is available to run on <it>Drosophila </it>genomes to search for new cases of alternative splicing.</p>http://www.almob.org/content/1/1/14
spellingShingle Salzberg Steven L
Allen Jonathan E
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Algorithms for Molecular Biology
title A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
title_full A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
title_fullStr A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
title_full_unstemmed A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
title_short A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
title_sort phylogenetic generalized hidden markov model for predicting alternatively spliced exons
url http://www.almob.org/content/1/1/14
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AT allenjonathane aphylogeneticgeneralizedhiddenmarkovmodelforpredictingalternativelysplicedexons
AT salzbergstevenl phylogeneticgeneralizedhiddenmarkovmodelforpredictingalternativelysplicedexons
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