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PGAP: pan-genomes analysis pipeline
Summary: With the rapid development of DNA sequencing technology, increasing bacteria genome data enable the biologists to dig the evolutionary and genetic information of prokaryotic species from pan-genome sight. Therefore, the high-efficiency pipelines for pan-genome analysis are mostly needed. We...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268234/ https://www.ncbi.nlm.nih.gov/pubmed/22130594 http://dx.doi.org/10.1093/bioinformatics/btr655 |
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author | Zhao, Yongbing Wu, Jiayan Yang, Junhui Sun, Shixiang Xiao, Jingfa Yu, Jun |
author_facet | Zhao, Yongbing Wu, Jiayan Yang, Junhui Sun, Shixiang Xiao, Jingfa Yu, Jun |
author_sort | Zhao, Yongbing |
collection | PubMed |
description | Summary: With the rapid development of DNA sequencing technology, increasing bacteria genome data enable the biologists to dig the evolutionary and genetic information of prokaryotic species from pan-genome sight. Therefore, the high-efficiency pipelines for pan-genome analysis are mostly needed. We have developed a new pan-genome analysis pipeline (PGAP), which can perform five analytic functions with only one command, including cluster analysis of functional genes, pan-genome profile analysis, genetic variation analysis of functional genes, species evolution analysis and function enrichment analysis of gene clusters. PGAP's performance has been evaluated on 11 Streptococcus pyogenes strains. Availability:PGAP is developed with Perl script on the Linux Platform and the package is freely available from http://pgap.sf.net. Contact: junyu@big.ac.cn; xiaojingfa@big.ac.cn Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3268234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32682342012-01-30 PGAP: pan-genomes analysis pipeline Zhao, Yongbing Wu, Jiayan Yang, Junhui Sun, Shixiang Xiao, Jingfa Yu, Jun Bioinformatics Applications Note Summary: With the rapid development of DNA sequencing technology, increasing bacteria genome data enable the biologists to dig the evolutionary and genetic information of prokaryotic species from pan-genome sight. Therefore, the high-efficiency pipelines for pan-genome analysis are mostly needed. We have developed a new pan-genome analysis pipeline (PGAP), which can perform five analytic functions with only one command, including cluster analysis of functional genes, pan-genome profile analysis, genetic variation analysis of functional genes, species evolution analysis and function enrichment analysis of gene clusters. PGAP's performance has been evaluated on 11 Streptococcus pyogenes strains. Availability:PGAP is developed with Perl script on the Linux Platform and the package is freely available from http://pgap.sf.net. Contact: junyu@big.ac.cn; xiaojingfa@big.ac.cn Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-02-01 2011-11-29 /pmc/articles/PMC3268234/ /pubmed/22130594 http://dx.doi.org/10.1093/bioinformatics/btr655 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed 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 original work is properly cited. |
spellingShingle | Applications Note Zhao, Yongbing Wu, Jiayan Yang, Junhui Sun, Shixiang Xiao, Jingfa Yu, Jun PGAP: pan-genomes analysis pipeline |
title | PGAP: pan-genomes analysis pipeline |
title_full | PGAP: pan-genomes analysis pipeline |
title_fullStr | PGAP: pan-genomes analysis pipeline |
title_full_unstemmed | PGAP: pan-genomes analysis pipeline |
title_short | PGAP: pan-genomes analysis pipeline |
title_sort | pgap: pan-genomes analysis pipeline |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268234/ https://www.ncbi.nlm.nih.gov/pubmed/22130594 http://dx.doi.org/10.1093/bioinformatics/btr655 |
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