CoLoRd: compressing long reads

被引：0
|
作者：
Marek Kokot
Adam Gudyś
Heng Li
Sebastian Deorowicz
机构：
[1] Silesian University of Technology,Faculty of Automatic Control, Electronics and Computer Science
[2] Dana-Farber Cancer Institute,Department of Data Sciences
[3] Harvard Medical School,Department of Biomedical Informatics
来源：
Nature Methods | 2022年 / 19卷
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摘要：
The cost of maintaining exabytes of data produced by sequencing experiments every year has become a major issue in today’s genomic research. In spite of the increasing popularity of third-generation sequencing, the existing algorithms for compressing long reads exhibit a minor advantage over the general-purpose gzip. We present CoLoRd, an algorithm able to reduce the size of third-generation sequencing data by an order of magnitude without affecting the accuracy of downstream analyses.
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页码：441 / 444
页数：3
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