Advances in the compression of high-throughput DNA sequencing data

With the development of high-throughput DNA sequencing technology, DNA sequencing data grows rapidly. The use of compression techniques provides an important candidate solution for the storage and transmission challenges of high-throughput DNA sequencing data. In this paper, the traditional DNA sequences compression methods, including substitutionary and statistical methods, and the reference-genome-based compression method for high-throughput DNA sequencing data are surveyed. The state-of-the-art algorithms of re-sequencing data compression, de novo sequencing data compression, quality score compression, and compressed data indexing are introduced and compared. The challenges and future prospects of high-throughput DNA sequencing data compression are also discussed.