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.
Authors
- Niema Moshiri (ORCID: https://orcid.org/0000-0003-2209-8128)
- Benjamin Laflen
- Tajana Rosing
- Zheyu Li
- Maxwell Urbina
Institutions
- University of California San Diego (US)
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
Funders
- National Science Foundation
- Intel Corporation
- Defense Advanced Research Projects Agency