Bioinformatics methods for high-throughput DNA sequencing data

DNA sequence data generated by high-throughput sequencing technology is short in length, and the amount of data is enormous. The challenges and opportunities of the big data in high-throughput sequencing environment were analyzed. The data compression, the assembly of metagenomic sequence data, and...

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Main Authors: xiaojuan Zhan, dengju Yao, huaiqiu Zhu
Format: Article
Language:zho
Published: China InfoCom Media Group 2016-03-01
Series:大数据
Subjects:
Online Access:http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2016021
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author xiaojuan Zhan
dengju Yao
huaiqiu Zhu
author_facet xiaojuan Zhan
dengju Yao
huaiqiu Zhu
author_sort xiaojuan Zhan
collection DOAJ
description DNA sequence data generated by high-throughput sequencing technology is short in length, and the amount of data is enormous. The challenges and opportunities of the big data in high-throughput sequencing environment were analyzed. The data compression, the assembly of metagenomic sequence data, and algorithms and tools of metagenomic sequence data analysis also were summarized and discussed. Finally, the future of the study on short read DNA sequence data in high-throughput sequencing environment was discussed.
format Article
id doaj-art-709d323e9b3f4b0db9a3cb090e939dea
institution OA Journals
issn 2096-0271
language zho
publishDate 2016-03-01
publisher China InfoCom Media Group
record_format Article
series 大数据
spelling doaj-art-709d323e9b3f4b0db9a3cb090e939dea2025-08-20T02:09:21ZzhoChina InfoCom Media Group大数据2096-02712016-03-012768759524271Bioinformatics methods for high-throughput DNA sequencing dataxiaojuan Zhandengju Yaohuaiqiu ZhuDNA sequence data generated by high-throughput sequencing technology is short in length, and the amount of data is enormous. The challenges and opportunities of the big data in high-throughput sequencing environment were analyzed. The data compression, the assembly of metagenomic sequence data, and algorithms and tools of metagenomic sequence data analysis also were summarized and discussed. Finally, the future of the study on short read DNA sequence data in high-throughput sequencing environment was discussed.http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2016021high-throughput DNA sequencing;bioinformatics;short read sequence data compression;short read sequence data splicing;short read sequence data analysis
spellingShingle xiaojuan Zhan
dengju Yao
huaiqiu Zhu
Bioinformatics methods for high-throughput DNA sequencing data
大数据
high-throughput DNA sequencing;bioinformatics;short read sequence data compression;short read sequence data splicing;short read sequence data analysis
title Bioinformatics methods for high-throughput DNA sequencing data
title_full Bioinformatics methods for high-throughput DNA sequencing data
title_fullStr Bioinformatics methods for high-throughput DNA sequencing data
title_full_unstemmed Bioinformatics methods for high-throughput DNA sequencing data
title_short Bioinformatics methods for high-throughput DNA sequencing data
title_sort bioinformatics methods for high throughput dna sequencing data
topic high-throughput DNA sequencing;bioinformatics;short read sequence data compression;short read sequence data splicing;short read sequence data analysis
url http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2016021
work_keys_str_mv AT xiaojuanzhan bioinformaticsmethodsforhighthroughputdnasequencingdata
AT dengjuyao bioinformaticsmethodsforhighthroughputdnasequencingdata
AT huaiqiuzhu bioinformaticsmethodsforhighthroughputdnasequencingdata