LW-FQZip 2: a parallelized reference-based compression of FASTQ files-Reference-Cited by-同舟云学术

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LW-FQZip 2: a parallelized reference-based compression of FASTQ files

Published:2017-03-20 Issue:1 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Huang Zhi-An,Wen Zhenkun,Deng Qingjin,Chu Ying,Sun Yiwen,Zhu Zexuan

Funder

National Natural Science Foundation of China

Guangdong Foundation of Outstanding Young Teachers in Higher Education Institutions

Guangdong Special Support Program of Top-notch Young Professionals

Guangdong Province Ordinary University Characteristic Innovation Project

Shenzhen Scientific Research and Development Funding Program

China-UK Visual Information Processing Lab Foundation

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1588-x.pdf

Reference28 articles.

1. van Dijk EL, Auger H, Jaszczyszyn Y, Thermes C. Ten years of next-generation sequencing technology. Trends Genet. 2014;30(9):418–26.

2. Kozanitis C, Heiberg A, Varghese G, Bafna V. Using genome query language to uncover genetic variation. Bioinformatics. 2014;30(1):1–8.

3. Zhu Z, Zhang Y, Ji Z, He S, Yang X. High-throughput DNA sequence data compression. Brief Bioinform. 2015;16(1):1–15.

4. Numanagic I, Bonfield JK, Hach F. Comparison of high-throughput sequencing data compression tools. Nat Methods. 2016;13(12):1005–8.

5. Hosseini M, Pratas D, Pinho AJ. A survey on data compression methods for biological sequences. Information. 2016;7(4):56.

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