Computational benchmarking demonstrates order-of-magnitude faster genomic file compression using QPL-HTSlib on Intel hardware, indicating substantial efficiency gains for high-throughput sequence...
Summary Sequence analysis workflows require the accessibility of large datasets, which require state-of-the-art compression tools. These compression tools, such as Samtools, often rely on HTSlib as a GZip implementation, but are still limited by throughput on time-intensive compression. QPL-HTSLib offers order of magnitude speedups for the compression and decompression of the SAM and BAM file formats commonly used in genomics workflows at the cost of a slightly larger compressed file, and is a drop-in replacement for HTSlib on Intel systems. Availability QPL-HTSLib is freely available on Github as an open-source software project. Supplementary information Supplementary data are available at Bioinformatics Advances online.
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Laflen et al. (2026) studied this question.
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