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Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes
High-throughput sequencing technologies are a milestone in molecular biology for facilitating great advances in genomics by enabling the deposit of large volumes of biological data to public databases. The availability of such data has made possible the comparative genomic analysis through pipelines...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018222/ https://www.ncbi.nlm.nih.gov/pubmed/29942087 http://dx.doi.org/10.1038/s41598-018-27800-8 |
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author | Veras, Allan Araujo, Fabricio Pinheiro, Kenny Guimarães, Luis Azevedo, Vasco Soares, Siomar da Costa da Silva, Artur Ramos, Rommel |
author_facet | Veras, Allan Araujo, Fabricio Pinheiro, Kenny Guimarães, Luis Azevedo, Vasco Soares, Siomar da Costa da Silva, Artur Ramos, Rommel |
author_sort | Veras, Allan |
collection | PubMed |
description | High-throughput sequencing technologies are a milestone in molecular biology for facilitating great advances in genomics by enabling the deposit of large volumes of biological data to public databases. The availability of such data has made possible the comparative genomic analysis through pipelines, using the entire gene repertoire of genomes. However, a large number of unfinished genomes exist in public databases; their number is approximately 16-fold higher than the number of complete genomes, which creates bias during comparative analyses. Therefore, the present work proposes a new tool called Pan4Drafts, an automated pipeline for pan-genomic analysis of draft prokaryotic genomes to maximize the representation and accuracy of the gene repertoire of unfinished genomes by using reads from sequencing data. Pan4Draft allows to perform comparative analyses using different methodologies such as combining complete and draft genomes, using only draft genomes or only complete genomes. Pan4Draft is available at http://www.computationalbiology.ufpa.br/pan4drafts and the test dataset is available at https://sourceforge.net/projects/pan4drafts. |
format | Online Article Text |
id | pubmed-6018222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60182222018-07-06 Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes Veras, Allan Araujo, Fabricio Pinheiro, Kenny Guimarães, Luis Azevedo, Vasco Soares, Siomar da Costa da Silva, Artur Ramos, Rommel Sci Rep Article High-throughput sequencing technologies are a milestone in molecular biology for facilitating great advances in genomics by enabling the deposit of large volumes of biological data to public databases. The availability of such data has made possible the comparative genomic analysis through pipelines, using the entire gene repertoire of genomes. However, a large number of unfinished genomes exist in public databases; their number is approximately 16-fold higher than the number of complete genomes, which creates bias during comparative analyses. Therefore, the present work proposes a new tool called Pan4Drafts, an automated pipeline for pan-genomic analysis of draft prokaryotic genomes to maximize the representation and accuracy of the gene repertoire of unfinished genomes by using reads from sequencing data. Pan4Draft allows to perform comparative analyses using different methodologies such as combining complete and draft genomes, using only draft genomes or only complete genomes. Pan4Draft is available at http://www.computationalbiology.ufpa.br/pan4drafts and the test dataset is available at https://sourceforge.net/projects/pan4drafts. Nature Publishing Group UK 2018-06-25 /pmc/articles/PMC6018222/ /pubmed/29942087 http://dx.doi.org/10.1038/s41598-018-27800-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Veras, Allan Araujo, Fabricio Pinheiro, Kenny Guimarães, Luis Azevedo, Vasco Soares, Siomar da Costa da Silva, Artur Ramos, Rommel Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes |
title | Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes |
title_full | Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes |
title_fullStr | Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes |
title_full_unstemmed | Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes |
title_short | Pan4Draft: A Computational Tool to Improve the Accuracy of Pan-Genomic Analysis Using Draft Genomes |
title_sort | pan4draft: a computational tool to improve the accuracy of pan-genomic analysis using draft genomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018222/ https://www.ncbi.nlm.nih.gov/pubmed/29942087 http://dx.doi.org/10.1038/s41598-018-27800-8 |
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