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A Brief Review of Computational Gene Prediction Methods
With the development of genome sequencing for many organisms, more and more raw sequences need to be annotated. Gene prediction by computational methods for finding the location of protein coding regions is one of the essential issues in bioinformatics. Two classes of methods are generally adopted:...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187414/ https://www.ncbi.nlm.nih.gov/pubmed/15901250 http://dx.doi.org/10.1016/S1672-0229(04)02028-5 |
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author | Wang, Zhuo Chen, Yazhu Li, Yixue |
author_facet | Wang, Zhuo Chen, Yazhu Li, Yixue |
author_sort | Wang, Zhuo |
collection | PubMed |
description | With the development of genome sequencing for many organisms, more and more raw sequences need to be annotated. Gene prediction by computational methods for finding the location of protein coding regions is one of the essential issues in bioinformatics. Two classes of methods are generally adopted: similarity based searches and ab initio prediction. Here, we review the development of gene prediction methods, summarize the measures for evaluating predictor quality, highlight open problems in this area, and discuss future research directions. |
format | Online Article Text |
id | pubmed-5187414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51874142017-01-03 A Brief Review of Computational Gene Prediction Methods Wang, Zhuo Chen, Yazhu Li, Yixue Genomics Proteomics Bioinformatics Review With the development of genome sequencing for many organisms, more and more raw sequences need to be annotated. Gene prediction by computational methods for finding the location of protein coding regions is one of the essential issues in bioinformatics. Two classes of methods are generally adopted: similarity based searches and ab initio prediction. Here, we review the development of gene prediction methods, summarize the measures for evaluating predictor quality, highlight open problems in this area, and discuss future research directions. Elsevier 2004-11 2016-11-28 /pmc/articles/PMC5187414/ /pubmed/15901250 http://dx.doi.org/10.1016/S1672-0229(04)02028-5 Text en . http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Wang, Zhuo Chen, Yazhu Li, Yixue A Brief Review of Computational Gene Prediction Methods |
title | A Brief Review of Computational Gene Prediction Methods |
title_full | A Brief Review of Computational Gene Prediction Methods |
title_fullStr | A Brief Review of Computational Gene Prediction Methods |
title_full_unstemmed | A Brief Review of Computational Gene Prediction Methods |
title_short | A Brief Review of Computational Gene Prediction Methods |
title_sort | brief review of computational gene prediction methods |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187414/ https://www.ncbi.nlm.nih.gov/pubmed/15901250 http://dx.doi.org/10.1016/S1672-0229(04)02028-5 |
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