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Transformations for the compression of FASTQ quality scores of next-generation sequencing data
2011
Computer applications in the biosciences : CABIOS
Motivation: The growth of next-generation sequencing means that more effective and efficient archiving methods are needed to store the generated data for public dissemination and in anticipation of more mature analytical methods later. This article examines methods for compressing the quality score component of the data to partly address this problem. Results: We compare several compression policies for quality scores, in terms of both compression effectiveness and overall efficiency. The
doi:10.1093/bioinformatics/btr689
pmid:22171329
fatcat:7k2vg35kijb7baeea7234j4vim