HRCM: An Efficient Hybrid Referential Compression Method for Genomic Big Data.

ABSTRACT: With the maturity of genome sequencing technology, huge amounts of sequence reads as well as assembled genomes are generating. With the explosive growth of genomic data, the storage and transmission of genomic data are facing enormous challenges. FASTA, as one of the main storage formats for genome sequences, is widely used in the Gene Bank because it eases sequence analysis and gene research and is easy to be read. Many compression methods for FASTA genome sequences have been proposed, but they still have room for improvement. For example, the compression ratio and speed are not so high and robust enough, and memory consumption is not ideal, etc. Therefore, it is of great significance to improve the efficiency, robustness, and practicability of genomic data compression to reduce the stora

SUBMITTER: Yao H 

PROVIDER: S-EPMC6930768 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature