Comparison of high-throughput sequencing data compression tools

High-throughput sequencing (HTS) data are commonly stored as raw sequencing reads in FASTQ format or as reads mapped to a reference, in SAM format, both with large memory footprints. Worldwide growth of HTS data has prompted the development of compression methods that aim to significantly reduce HTS data size. Here we report on a benchmarking study of available compression methods on a comprehensive set of HTS data using an automated framework.


Published in:
Nature Methods, 13, 1005-1008
Year:
2016
Publisher:
London, Nature Publishing Group
ISSN:
1548-7091
Keywords:
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 Record created 2016-12-01, last modified 2018-03-17

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