QPL-Enabled HTSlib Library: Accelerating Sequence File Compression using Intel IAA

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ID: 326457
2026
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Abstract
Abstract 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.
Reference Key
openalex_W7204230547 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Benjamin Laflen, Zheyu Li, Maxwell Urbina, Tajana Rosing, Niema Moshiri
Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag250
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