Abstract
The exponential growth of high-throughput DNA sequence data has brought great challenges in data processing, archive and transmission. How to improve compression techniques for large datasets of sequence read archive has become a critical problem in store and analyzes biological data. The paper compared the existing data compression methods on five high-throughput sequence datasets, and proposed a novel method to compress high-throughput sequence read archive data. The experiment results show that the proposed compression method could get good compression ration and implement higher processing speed.
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