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• W2159906372 abstract "The storage and transmission of high-throughput sequencing data consumes significant resources. As our capacity to produce such data continues to increase, this burden will only grow. One approach to reduce storage and transmission requirements is to compress this sequencing data.We present a novel technique to boost the compression of sequencing that is based on the concept of bucketing similar reads so that they appear nearby in the file. We demonstrate that, by adopting a data-dependent bucketing scheme and employing a number of encoding ideas, we can achieve substantially better compression ratios than existing de novo sequence compression tools, including other bucketing and reordering schemes. Our method, Mince, achieves up to a 45% reduction in file sizes (28% on average) compared with existing state-of-the-art de novo compression schemes.Mince is written in C++11, is open source and has been made available under the GPLv3 license. It is available at http://www.cs.cmu.edu/∼ckingsf/software/mince.carlk@cs.cmu.eduSupplementary data are available at Bioinformatics online." @default.
• W2159906372 created "2016-06-24" @default.
• W2159906372 creator A5014584023 @default.
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• W2159906372 date "2015-04-24" @default.
• W2159906372 modified "2023-09-30" @default.
• W2159906372 title "Data-dependent bucketing improves reference-free compression of sequencing reads" @default.
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• W2159906372 doi "https://doi.org/10.1093/bioinformatics/btv248" @default.
• W2159906372 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4547610" @default.
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• W2159906372 hasPublicationYear "2015" @default.
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