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

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.

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Publication Details

Journal
Bioinformatics Advances
Published
2026-08-26
DOI
https://doi.org/10.1093/bioadv/vbag250
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Niema Moshiri, Benjamin Laflen, Tajana Rosing, Zheyu Li et al.
Bioinformatics Advances
Genomics and Phylogenetic Studies
article

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

Niema Moshiri, Benjamin Laflen, Tajana Rosing, Zheyu Li, Maxwell Urbina
article en

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.

Bioinformatics Advances
University of California San Diego (US)
National Science Foundation, Intel Corporation, Defense Advanced Research Projects Agency
Openalex Percentile: Top 17%
Genomics and Phylogenetic Studies
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