Dec 3, 2013 · Compression is achieved by replacing each repetitive subsequence in the target genomic sequence by the corresponding encoded subsequence in the ...
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Compression is a critical tool to address these challenges, where many methods have been developed to reduce the storage size of the genomes 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 ...
Feb 8, 2018 · The main goal of Assembltrie is to achieve lossless compression of a collection (multiset) of fixed length genomic reads, i.e., strings from the ...
Dec 3, 2013 · Abstract. The exponential growth of high-throughput DNA sequence data has posed great challenges to genomic data stor-.
May 18, 2016 · As zip files are produced to compress large groups of files, there are compression methods to store large volumes of sequencing data and even ...
High-throughput sequencing technologies have led to a dramatic decline of genome sequencing costs and to an astonishingly rapid accumulation of genomic data.
Data storage costs have become an appreciable proportion of total cost in the creation and analysis of DNA sequence data. Of particular concern is that the ...
A novel high-throughput DNA sequence compression method based on codebook index transformation (CITD) is proposed.In CITD,we used the codebook index ...
This article categorizes and provides a comprehensive review of the existing compression methods specialized for genomic data and presents experimental ...