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Recognition of Protein-coding Genes Based on Z-curve Algorithms
Recognition of protein-coding genes, a classical bioinformatics issue, is an absolutely needed step for annotating newly sequenced genomes. The Z-curve algorithm, as one of the most effective methods on this issue, has been successfully applied in annotating or re-annotating many genomes, including...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009845/ https://www.ncbi.nlm.nih.gov/pubmed/24822027 http://dx.doi.org/10.2174/1389202915999140328162724 |
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author | -Biao Guo, Feng Lin, Yan -Ling Chen, Ling |
author_facet | -Biao Guo, Feng Lin, Yan -Ling Chen, Ling |
author_sort | -Biao Guo, Feng |
collection | PubMed |
description | Recognition of protein-coding genes, a classical bioinformatics issue, is an absolutely needed step for annotating newly sequenced genomes. The Z-curve algorithm, as one of the most effective methods on this issue, has been successfully applied in annotating or re-annotating many genomes, including those of bacteria, archaea and viruses. Two Z-curve based ab initio gene-finding programs have been developed: ZCURVE (for bacteria and archaea) and ZCURVE_V (for viruses and phages). ZCURVE_C (for 57 bacteria) and Zfisher (for any bacterium) are web servers for re-annotation of bacterial and archaeal genomes. The above four tools can be used for genome annotation or re-annotation, either independently or combined with the other gene-finding programs. In addition to recognizing protein-coding genes and exons, Z-curve algorithms are also effective in recognizing promoters and translation start sites. Here, we summarize the applications of Z-curve algorithms in gene finding and genome annotation. |
format | Online Article Text |
id | pubmed-4009845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-40098452014-10-01 Recognition of Protein-coding Genes Based on Z-curve Algorithms -Biao Guo, Feng Lin, Yan -Ling Chen, Ling Curr Genomics Article Recognition of protein-coding genes, a classical bioinformatics issue, is an absolutely needed step for annotating newly sequenced genomes. The Z-curve algorithm, as one of the most effective methods on this issue, has been successfully applied in annotating or re-annotating many genomes, including those of bacteria, archaea and viruses. Two Z-curve based ab initio gene-finding programs have been developed: ZCURVE (for bacteria and archaea) and ZCURVE_V (for viruses and phages). ZCURVE_C (for 57 bacteria) and Zfisher (for any bacterium) are web servers for re-annotation of bacterial and archaeal genomes. The above four tools can be used for genome annotation or re-annotation, either independently or combined with the other gene-finding programs. In addition to recognizing protein-coding genes and exons, Z-curve algorithms are also effective in recognizing promoters and translation start sites. Here, we summarize the applications of Z-curve algorithms in gene finding and genome annotation. Bentham Science Publishers 2014-04 2014-04 /pmc/articles/PMC4009845/ /pubmed/24822027 http://dx.doi.org/10.2174/1389202915999140328162724 Text en ©2014 Bentham Science Publishers http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article -Biao Guo, Feng Lin, Yan -Ling Chen, Ling Recognition of Protein-coding Genes Based on Z-curve Algorithms |
title | Recognition of Protein-coding Genes Based on Z-curve Algorithms |
title_full | Recognition of Protein-coding Genes Based on Z-curve Algorithms |
title_fullStr | Recognition of Protein-coding Genes Based on Z-curve Algorithms |
title_full_unstemmed | Recognition of Protein-coding Genes Based on Z-curve Algorithms |
title_short | Recognition of Protein-coding Genes Based on Z-curve Algorithms |
title_sort | recognition of protein-coding genes based on z-curve algorithms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009845/ https://www.ncbi.nlm.nih.gov/pubmed/24822027 http://dx.doi.org/10.2174/1389202915999140328162724 |
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