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- W2259096502 endingPage "1630002" @default.
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- W2259096502 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." @default.
- W2259096502 created "2016-06-24" @default.
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- W2259096502 date "2016-06-01" @default.
- W2259096502 modified "2023-10-18" @default.
- W2259096502 title "Advances in high throughput DNA sequence data compression" @default.
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- W2259096502 doi "https://doi.org/10.1142/s0219720016300021" @default.
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