DocumentCode
2130930
Title
Fast compression of huge DNA sequence data
Author
Jichao Ouyang ; Ping Feng ; Jichang Kang
Author_Institution
Sch. of Comput. Sci. & Technol., Northwestern Polytech. Univ., Xi´an, China
fYear
2012
fDate
16-18 Oct. 2012
Firstpage
885
Lastpage
888
Abstract
DNA sequences can be enormous in size. There have been several DNA sequence oriented compression methods like Biocompress, DNACompress, Cfact, CTW+LZ, and DNADP. These compression methods can achieve high compression ratio, but sacrifice too much of time. For example, CTW+LZ takes several hours to compress a sequence HEMCMVCG of 227 KB. DNADP takes about 20 minutes to compress standard benchmark sequences. Here we introduce an improved RLE method, which has lower computation complex. Thus, it significantly improves the running time against previous DNA compression programs. Our improved LRE can achieve compression ratio of 1.862 bits per base. It only takes about 1 minute on a 2.1 GHz Core 2 duo processor to compress a 250MB chromosomes sequence file. And we use the Delta Encoding to reduce the second sequence to 4.8MB.
Keywords
DNA; biology computing; biomedical electronics; cellular biophysics; computational complexity; data compression; field programmable gate arrays; CTW+LZ; Cfact; DNA compression programs; DNA sequence data; DNA sequence oriented compression methods; DNACompress; DNADP; HEMCMVCG; LRE; RLE method; biocompress; chromosomes sequence file; compression ratio; computational complexity; delta encoding; duo processor; standard benchmark sequences; Data compression; Delta Encoding; Field programmable gate arrays (FPGA); Run-length encoding; Sequence alignment; Variable Integers;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-1183-0
Type
conf
DOI
10.1109/BMEI.2012.6512909
Filename
6512909
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