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A compression method for DNA
The development of high-throughput sequencing technology has generated huge amounts DNA data. Many general compression algorithms are not ideal for compressing DNA data, such as the LZ77 algorithm. On the basis of Nour and Sharawi’s method,we propose a new, lossless and reference-free method to incr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688149/ https://www.ncbi.nlm.nih.gov/pubmed/33237908 http://dx.doi.org/10.1371/journal.pone.0238220 |
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author | Du, Shengwang Li, Junyi Bian, Naizheng |
author_facet | Du, Shengwang Li, Junyi Bian, Naizheng |
author_sort | Du, Shengwang |
collection | PubMed |
description | The development of high-throughput sequencing technology has generated huge amounts DNA data. Many general compression algorithms are not ideal for compressing DNA data, such as the LZ77 algorithm. On the basis of Nour and Sharawi’s method,we propose a new, lossless and reference-free method to increase the compression performance. The original sequences are converted into eight intermediate files and six final files. Then, the LZ77 algorithm is used to compress the six final files. The results show that the compression time is decreased by 83% and the decompression time is decreased by 54% on average.The compression rate is almost the same as Nour and Sharawi’s method which is the fastest method so far. What’s more, our method has a wider range of application than Nour and Sharawi’s method. Compared to some very advanced compression tools at present, such as XM and FCM-Mx, the time for compression in our method is much smaller, on average decreasing the time by more than 90%. |
format | Online Article Text |
id | pubmed-7688149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76881492020-12-05 A compression method for DNA Du, Shengwang Li, Junyi Bian, Naizheng PLoS One Research Article The development of high-throughput sequencing technology has generated huge amounts DNA data. Many general compression algorithms are not ideal for compressing DNA data, such as the LZ77 algorithm. On the basis of Nour and Sharawi’s method,we propose a new, lossless and reference-free method to increase the compression performance. The original sequences are converted into eight intermediate files and six final files. Then, the LZ77 algorithm is used to compress the six final files. The results show that the compression time is decreased by 83% and the decompression time is decreased by 54% on average.The compression rate is almost the same as Nour and Sharawi’s method which is the fastest method so far. What’s more, our method has a wider range of application than Nour and Sharawi’s method. Compared to some very advanced compression tools at present, such as XM and FCM-Mx, the time for compression in our method is much smaller, on average decreasing the time by more than 90%. Public Library of Science 2020-11-25 /pmc/articles/PMC7688149/ /pubmed/33237908 http://dx.doi.org/10.1371/journal.pone.0238220 Text en © 2020 Du 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Du, Shengwang Li, Junyi Bian, Naizheng A compression method for DNA |
title | A compression method for DNA |
title_full | A compression method for DNA |
title_fullStr | A compression method for DNA |
title_full_unstemmed | A compression method for DNA |
title_short | A compression method for DNA |
title_sort | compression method for dna |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688149/ https://www.ncbi.nlm.nih.gov/pubmed/33237908 http://dx.doi.org/10.1371/journal.pone.0238220 |
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