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A Brief Review of Software Tools for Pangenomics
Since the proposal for pangenomic study, there have been a dozen software tools actively in use for pangenomic analysis. By the end of 2014, Panseq and the pan-genomes analysis pipeline (PGAP) ranked as the top two most popular packages according to cumulative citations of peer-reviewed scientific p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411478/ https://www.ncbi.nlm.nih.gov/pubmed/25721608 http://dx.doi.org/10.1016/j.gpb.2015.01.007 |
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author | Xiao, Jingfa Zhang, Zhewen Wu, Jiayan Yu, Jun |
author_facet | Xiao, Jingfa Zhang, Zhewen Wu, Jiayan Yu, Jun |
author_sort | Xiao, Jingfa |
collection | PubMed |
description | Since the proposal for pangenomic study, there have been a dozen software tools actively in use for pangenomic analysis. By the end of 2014, Panseq and the pan-genomes analysis pipeline (PGAP) ranked as the top two most popular packages according to cumulative citations of peer-reviewed scientific publications. The functions of the software packages and tools, albeit variable among them, include categorizing orthologous genes, calculating pangenomic profiles, integrating gene annotations, and constructing phylogenies. As epigenomic elements are being gradually revealed in prokaryotes, it is expected that pangenomic databases and toolkits have to be extended to handle information of detailed functional annotations for genes and non-protein-coding sequences including non-coding RNAs, insertion elements, and conserved structural elements. To develop better bioinformatic tools, user feedback and integration of novel features are both of essence. |
format | Online Article Text |
id | pubmed-4411478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-44114782015-05-06 A Brief Review of Software Tools for Pangenomics Xiao, Jingfa Zhang, Zhewen Wu, Jiayan Yu, Jun Genomics Proteomics Bioinformatics Resource Review Since the proposal for pangenomic study, there have been a dozen software tools actively in use for pangenomic analysis. By the end of 2014, Panseq and the pan-genomes analysis pipeline (PGAP) ranked as the top two most popular packages according to cumulative citations of peer-reviewed scientific publications. The functions of the software packages and tools, albeit variable among them, include categorizing orthologous genes, calculating pangenomic profiles, integrating gene annotations, and constructing phylogenies. As epigenomic elements are being gradually revealed in prokaryotes, it is expected that pangenomic databases and toolkits have to be extended to handle information of detailed functional annotations for genes and non-protein-coding sequences including non-coding RNAs, insertion elements, and conserved structural elements. To develop better bioinformatic tools, user feedback and integration of novel features are both of essence. Elsevier 2015-02 2015-02-23 /pmc/articles/PMC4411478/ /pubmed/25721608 http://dx.doi.org/10.1016/j.gpb.2015.01.007 Text en © 2015 The Authors https://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 | Resource Review Xiao, Jingfa Zhang, Zhewen Wu, Jiayan Yu, Jun A Brief Review of Software Tools for Pangenomics |
title | A Brief Review of Software Tools for Pangenomics |
title_full | A Brief Review of Software Tools for Pangenomics |
title_fullStr | A Brief Review of Software Tools for Pangenomics |
title_full_unstemmed | A Brief Review of Software Tools for Pangenomics |
title_short | A Brief Review of Software Tools for Pangenomics |
title_sort | brief review of software tools for pangenomics |
topic | Resource Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411478/ https://www.ncbi.nlm.nih.gov/pubmed/25721608 http://dx.doi.org/10.1016/j.gpb.2015.01.007 |
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