GTZ: a fast compression and cloud transmission tool optimized for FASTQ files

被引:0
作者
Yuting Xing
Gen Li
Zhenguo Wang
Bolun Feng
Zhuo Song
Chengkun Wu
机构
[1] School of Computer Science,
[2] National University of Defense Technology,undefined
[3] Genetalks Biotech. Co.,undefined
[4] Ltd.,undefined
来源
BMC Bioinformatics | / 18卷
关键词
FASTQ; Compression; General-purpose; Lossless; Parallel compression and transmission; Cloud computing;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 26 条
  • [1] Kozanitis C(2010)Compressing genomic sequence fragments using SLIMGENE J Comput Biol 18 401-413
  • [2] Saunders C(2015)Light-weight reference-based compression of FASTQ data BMC Bioinformatics 16 188-e59110
  • [3] Kruglyak S(2013)Compression of FASTQ and SAM format sequencing data. Gormley M, editor PLoS One 8 e59190-343
  • [4] Bafna V(1977)A universal algorithm for sequential data compression IEEE Trans Inf Theory IT-23 337-886
  • [5] Varghese G(1994)A new challenge for compression algorithms: genetic sequences Inf Process Manag 30 875-862
  • [6] Zhang Y(2011)Compression of DNA sequence reads in FASTQ format Bioinformatics 27 860-1911
  • [7] Li L(1952)A method for the construction of minimum-Redundacy codes Proc IRE 40 1908-2215
  • [8] Yang Y(2014)DSRC 2-industry-oriented compression of FASTQ files Bioinformatics 30 2213-3057
  • [9] Yang X(2012)SCALCE: boosting sequence compression algorithms using locally consistent encoding Bioinformatics 28 3051-undefined
  • [10] He S(undefined)undefined undefined undefined undefined-undefined