Journal
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
Volume 14, Issue 3, Pages -Publisher
IMPERIAL COLLEGE PRESS
DOI: 10.1142/S0219720016300021
Keywords
Genome compression; read compression; referential compression; reference free compression
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Advances in high throughput sequencing technologies and reduction in cost of sequencing have led to exponential growth in high throughput DNA sequence data. This growth has posed challenges such as storage, retrieval, and transmission of sequencing data. Data compression is used to cope with these challenges. Various methods have been developed to compress genomic and sequencing data. In this article, we present a comprehensive review of compression methods for genome and reads compression. Algorithms are categorized as referential or reference free. Experimental results and comparative analysis of various methods for data compression are presented. Finally, key challenges and research directions in DNA sequence data compression are highlighted.
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