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fqtools: an efficient software suite for modern FASTQ file manipulation
Summary: Many Next Generation Sequencing analyses involve the basic manipulation of input sequence data before downstream processing (e.g. searching for specific sequences, format conversion or basic file statistics). The rapidly increasing data volumes involved in NGS make any dataset manipulation...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908325/ https://www.ncbi.nlm.nih.gov/pubmed/27153699 http://dx.doi.org/10.1093/bioinformatics/btw088 |
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author | Droop, Alastair P. |
author_facet | Droop, Alastair P. |
author_sort | Droop, Alastair P. |
collection | PubMed |
description | Summary: Many Next Generation Sequencing analyses involve the basic manipulation of input sequence data before downstream processing (e.g. searching for specific sequences, format conversion or basic file statistics). The rapidly increasing data volumes involved in NGS make any dataset manipulation a time-consuming and error-prone process. I have developed fqtools; a fast and reliable FASTQ file manipulation suite that can process the full set of valid FASTQ files, including those with multi-line sequences, whilst identifying invalid files. Fqtools is faster than similar tools, and is designed for use in automatic processing pipelines. Availability and implementation: fqtools is open source and is available at: https://github.com/alastair-droop/fqtools. Supplementary information: Supplementary data are available at Bioinformatics online. Contact: a.p.droop@leeds.ac.uk |
format | Online Article Text |
id | pubmed-4908325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49083252016-06-17 fqtools: an efficient software suite for modern FASTQ file manipulation Droop, Alastair P. Bioinformatics Applications Notes Summary: Many Next Generation Sequencing analyses involve the basic manipulation of input sequence data before downstream processing (e.g. searching for specific sequences, format conversion or basic file statistics). The rapidly increasing data volumes involved in NGS make any dataset manipulation a time-consuming and error-prone process. I have developed fqtools; a fast and reliable FASTQ file manipulation suite that can process the full set of valid FASTQ files, including those with multi-line sequences, whilst identifying invalid files. Fqtools is faster than similar tools, and is designed for use in automatic processing pipelines. Availability and implementation: fqtools is open source and is available at: https://github.com/alastair-droop/fqtools. Supplementary information: Supplementary data are available at Bioinformatics online. Contact: a.p.droop@leeds.ac.uk Oxford University Press 2016-06-15 2016-02-18 /pmc/articles/PMC4908325/ /pubmed/27153699 http://dx.doi.org/10.1093/bioinformatics/btw088 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Droop, Alastair P. fqtools: an efficient software suite for modern FASTQ file manipulation |
title | fqtools: an efficient software suite for modern FASTQ file manipulation |
title_full | fqtools: an efficient software suite for modern FASTQ file manipulation |
title_fullStr | fqtools: an efficient software suite for modern FASTQ file manipulation |
title_full_unstemmed | fqtools: an efficient software suite for modern FASTQ file manipulation |
title_short | fqtools: an efficient software suite for modern FASTQ file manipulation |
title_sort | fqtools: an efficient software suite for modern fastq file manipulation |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908325/ https://www.ncbi.nlm.nih.gov/pubmed/27153699 http://dx.doi.org/10.1093/bioinformatics/btw088 |
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