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Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality
Oxford Nanopore Technologies' (ONT's) MinION and PromethION long-read sequencing technologies are emerging as genuine alternatives to established Next-Generation Sequencing technologies. A combination of the highly redundant file format and a rapid increase in data generation have created...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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F1000Research
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365225/ https://www.ncbi.nlm.nih.gov/pubmed/28413619 http://dx.doi.org/10.12688/f1000research.11022.3 |
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author | Gigante, Scott |
author_facet | Gigante, Scott |
author_sort | Gigante, Scott |
collection | PubMed |
description | Oxford Nanopore Technologies' (ONT's) MinION and PromethION long-read sequencing technologies are emerging as genuine alternatives to established Next-Generation Sequencing technologies. A combination of the highly redundant file format and a rapid increase in data generation have created a significant problem both for immediate data storage on MinION-capable laptops, and for long-term storage on lab data servers. We developed Picopore, a software suite offering three methods of compression. Picopore's lossless and deep lossless methods provide a 25% and 44% average reduction in size, respectively, without removing any data from the files. Picopore's raw method provides an 88% average reduction in size, while retaining biologically relevant data for the end-user. All methods have the capacity to run in real-time in parallel to a sequencing run, reducing demand for both immediate and long-term storage space. |
format | Online Article Text |
id | pubmed-5365225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-53652252017-04-14 Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality Gigante, Scott F1000Res Software Tool Article Oxford Nanopore Technologies' (ONT's) MinION and PromethION long-read sequencing technologies are emerging as genuine alternatives to established Next-Generation Sequencing technologies. A combination of the highly redundant file format and a rapid increase in data generation have created a significant problem both for immediate data storage on MinION-capable laptops, and for long-term storage on lab data servers. We developed Picopore, a software suite offering three methods of compression. Picopore's lossless and deep lossless methods provide a 25% and 44% average reduction in size, respectively, without removing any data from the files. Picopore's raw method provides an 88% average reduction in size, while retaining biologically relevant data for the end-user. All methods have the capacity to run in real-time in parallel to a sequencing run, reducing demand for both immediate and long-term storage space. F1000Research 2017-09-28 /pmc/articles/PMC5365225/ /pubmed/28413619 http://dx.doi.org/10.12688/f1000research.11022.3 Text en Copyright: © 2017 Gigante S http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Gigante, Scott Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality |
title | Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality |
title_full | Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality |
title_fullStr | Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality |
title_full_unstemmed | Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality |
title_short | Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality |
title_sort | picopore: a tool for reducing the storage size of oxford nanopore technologies datasets without loss of functionality |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5365225/ https://www.ncbi.nlm.nih.gov/pubmed/28413619 http://dx.doi.org/10.12688/f1000research.11022.3 |
work_keys_str_mv | AT gigantescott picoporeatoolforreducingthestoragesizeofoxfordnanoporetechnologiesdatasetswithoutlossoffunctionality |