title: Advances in high throughput DNA sequence data compression.
abstract: 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.
authors: 1 Department of Computer Science, University of Wah, Quaid Avenue, Wah Cantt 47040, Pakistan.
authors: Muhammad
authors: M
authors: Sardaraz
authors: 1 Department of Computer Science, University of Wah, Quaid Avenue, Wah Cantt 47040, Pakistan.
authors: Muhammad
authors: M
authors: Tahir
authors: 2 Department of Electrical Engineering, National University, Islamabad 44000, Pakistan.
authors: Ataul Aziz
authors: AA
authors: Ikram
mesh_terms: D000465:Algorithms; D000818:Animals; D017360:Arabidopsis / Q000235:genetics; D017173:Caenorhabditis elegans / Q000235:genetics; D044962:Data Compression / Q000379:methods*; D004926:Escherichia coli / Q000235:genetics; D023281:Genomics / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods
keywords: Genome compression; read compression; reference free compression; referential compression