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Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement
Advances in modern sequencing technologies allow us to generate sufficient data to analyze hundreds of bacterial genomes from a single machine in a single day. This potential for sequencing massive numbers of genomes calls for fully automated methods to produce high-quality assemblies and variant ca...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237348/ https://www.ncbi.nlm.nih.gov/pubmed/25409509 http://dx.doi.org/10.1371/journal.pone.0112963 |
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author | Walker, Bruce J. Abeel, Thomas Shea, Terrance Priest, Margaret Abouelliel, Amr Sakthikumar, Sharadha Cuomo, Christina A. Zeng, Qiandong Wortman, Jennifer Young, Sarah K. Earl, Ashlee M. |
author_facet | Walker, Bruce J. Abeel, Thomas Shea, Terrance Priest, Margaret Abouelliel, Amr Sakthikumar, Sharadha Cuomo, Christina A. Zeng, Qiandong Wortman, Jennifer Young, Sarah K. Earl, Ashlee M. |
author_sort | Walker, Bruce J. |
collection | PubMed |
description | Advances in modern sequencing technologies allow us to generate sufficient data to analyze hundreds of bacterial genomes from a single machine in a single day. This potential for sequencing massive numbers of genomes calls for fully automated methods to produce high-quality assemblies and variant calls. We introduce Pilon, a fully automated, all-in-one tool for correcting draft assemblies and calling sequence variants of multiple sizes, including very large insertions and deletions. Pilon works with many types of sequence data, but is particularly strong when supplied with paired end data from two Illumina libraries with small e.g., 180 bp and large e.g., 3–5 Kb inserts. Pilon significantly improves draft genome assemblies by correcting bases, fixing mis-assemblies and filling gaps. For both haploid and diploid genomes, Pilon produces more contiguous genomes with fewer errors, enabling identification of more biologically relevant genes. Furthermore, Pilon identifies small variants with high accuracy as compared to state-of-the-art tools and is unique in its ability to accurately identify large sequence variants including duplications and resolve large insertions. Pilon is being used to improve the assemblies of thousands of new genomes and to identify variants from thousands of clinically relevant bacterial strains. Pilon is freely available as open source software. |
format | Online Article Text |
id | pubmed-4237348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42373482014-11-21 Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement Walker, Bruce J. Abeel, Thomas Shea, Terrance Priest, Margaret Abouelliel, Amr Sakthikumar, Sharadha Cuomo, Christina A. Zeng, Qiandong Wortman, Jennifer Young, Sarah K. Earl, Ashlee M. PLoS One Research Article Advances in modern sequencing technologies allow us to generate sufficient data to analyze hundreds of bacterial genomes from a single machine in a single day. This potential for sequencing massive numbers of genomes calls for fully automated methods to produce high-quality assemblies and variant calls. We introduce Pilon, a fully automated, all-in-one tool for correcting draft assemblies and calling sequence variants of multiple sizes, including very large insertions and deletions. Pilon works with many types of sequence data, but is particularly strong when supplied with paired end data from two Illumina libraries with small e.g., 180 bp and large e.g., 3–5 Kb inserts. Pilon significantly improves draft genome assemblies by correcting bases, fixing mis-assemblies and filling gaps. For both haploid and diploid genomes, Pilon produces more contiguous genomes with fewer errors, enabling identification of more biologically relevant genes. Furthermore, Pilon identifies small variants with high accuracy as compared to state-of-the-art tools and is unique in its ability to accurately identify large sequence variants including duplications and resolve large insertions. Pilon is being used to improve the assemblies of thousands of new genomes and to identify variants from thousands of clinically relevant bacterial strains. Pilon is freely available as open source software. Public Library of Science 2014-11-19 /pmc/articles/PMC4237348/ /pubmed/25409509 http://dx.doi.org/10.1371/journal.pone.0112963 Text en © 2014 Walker et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Walker, Bruce J. Abeel, Thomas Shea, Terrance Priest, Margaret Abouelliel, Amr Sakthikumar, Sharadha Cuomo, Christina A. Zeng, Qiandong Wortman, Jennifer Young, Sarah K. Earl, Ashlee M. Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement |
title | Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement |
title_full | Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement |
title_fullStr | Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement |
title_full_unstemmed | Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement |
title_short | Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement |
title_sort | pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237348/ https://www.ncbi.nlm.nih.gov/pubmed/25409509 http://dx.doi.org/10.1371/journal.pone.0112963 |
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