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SequelTools: a suite of tools for working with PacBio Sequel raw sequence data
BACKGROUND: PacBio sequencing is an incredibly valuable third-generation DNA sequencing method due to very long read lengths, ability to detect methylated bases, and its real-time sequencing methodology. Yet, hitherto no tool was available for analyzing the quality of, subsampling, and filtering Pac...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532105/ https://www.ncbi.nlm.nih.gov/pubmed/33004007 http://dx.doi.org/10.1186/s12859-020-03751-8 |
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author | Hufnagel, David E. Hufford, Matthew B. Seetharam, Arun S. |
author_facet | Hufnagel, David E. Hufford, Matthew B. Seetharam, Arun S. |
author_sort | Hufnagel, David E. |
collection | PubMed |
description | BACKGROUND: PacBio sequencing is an incredibly valuable third-generation DNA sequencing method due to very long read lengths, ability to detect methylated bases, and its real-time sequencing methodology. Yet, hitherto no tool was available for analyzing the quality of, subsampling, and filtering PacBio data. RESULTS: Here we present SequelTools, a command-line program containing three tools: Quality Control, Read Subsampling, and Read Filtering. The Quality Control tool quickly processes PacBio Sequel raw sequence data from multiple SMRTcells producing multiple statistics and publication-quality plots describing the quality of the data including N50, read length and count statistics, PSR, and ZOR. The Read Subsampling tool allows the user to subsample reads by one or more of the following criteria: longest subreads per CLR or random CLR selection. The Read Filtering tool provides options for normalizing data by filtering out certain low-quality scraps reads and/or by minimum CLR length. SequelTools is implemented in bash, R, and Python using only standard libraries and packages and is platform independent. CONCLUSIONS: SequelTools is a program that provides the only free, fast, and easy-to-use quality control tool, and the only program providing this kind of read subsampling and read filtering for PacBio Sequel raw sequence data, and is available at https://github.com/ISUgenomics/SequelTools. |
format | Online Article Text |
id | pubmed-7532105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75321052020-10-05 SequelTools: a suite of tools for working with PacBio Sequel raw sequence data Hufnagel, David E. Hufford, Matthew B. Seetharam, Arun S. BMC Bioinformatics Software BACKGROUND: PacBio sequencing is an incredibly valuable third-generation DNA sequencing method due to very long read lengths, ability to detect methylated bases, and its real-time sequencing methodology. Yet, hitherto no tool was available for analyzing the quality of, subsampling, and filtering PacBio data. RESULTS: Here we present SequelTools, a command-line program containing three tools: Quality Control, Read Subsampling, and Read Filtering. The Quality Control tool quickly processes PacBio Sequel raw sequence data from multiple SMRTcells producing multiple statistics and publication-quality plots describing the quality of the data including N50, read length and count statistics, PSR, and ZOR. The Read Subsampling tool allows the user to subsample reads by one or more of the following criteria: longest subreads per CLR or random CLR selection. The Read Filtering tool provides options for normalizing data by filtering out certain low-quality scraps reads and/or by minimum CLR length. SequelTools is implemented in bash, R, and Python using only standard libraries and packages and is platform independent. CONCLUSIONS: SequelTools is a program that provides the only free, fast, and easy-to-use quality control tool, and the only program providing this kind of read subsampling and read filtering for PacBio Sequel raw sequence data, and is available at https://github.com/ISUgenomics/SequelTools. BioMed Central 2020-10-01 /pmc/articles/PMC7532105/ /pubmed/33004007 http://dx.doi.org/10.1186/s12859-020-03751-8 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Hufnagel, David E. Hufford, Matthew B. Seetharam, Arun S. SequelTools: a suite of tools for working with PacBio Sequel raw sequence data |
title | SequelTools: a suite of tools for working with PacBio Sequel raw sequence data |
title_full | SequelTools: a suite of tools for working with PacBio Sequel raw sequence data |
title_fullStr | SequelTools: a suite of tools for working with PacBio Sequel raw sequence data |
title_full_unstemmed | SequelTools: a suite of tools for working with PacBio Sequel raw sequence data |
title_short | SequelTools: a suite of tools for working with PacBio Sequel raw sequence data |
title_sort | sequeltools: a suite of tools for working with pacbio sequel raw sequence data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532105/ https://www.ncbi.nlm.nih.gov/pubmed/33004007 http://dx.doi.org/10.1186/s12859-020-03751-8 |
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