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HTSlib high-throughput sequencing library as an R package

Bioconductor version: Release (3.19)

This package provides version 1.18 of the 'HTSlib' C library for high-throughput sequence analysis. The package is primarily useful to developers of other R packages who wish to make use of HTSlib. Motivation and instructions for use of this package are in the vignette, vignette(package="Rhtslib", "Rhtslib").

Author: Nathaniel Hayden [led, aut], Martin Morgan [aut], Hervé Pagès [aut, cre], Tomas Kalibera [ctb], Jeroen Ooms [ctb]

Maintainer: Hervé Pagès <hpages.on.github at>

Citation (from within R, enter citation("Rhtslib")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Motivation and use of Rhtslib HTML R Script
Reference Manual PDF


biocViews DataImport, Sequencing, Software
Version 3.0.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License LGPL (>= 2)
Imports tools, zlibbioc
System Requirements libbz2 & liblzma & libcurl (with header files), GNU make
Bug Reports
See More
Suggests knitr, rmarkdown, BiocStyle
Linking To zlibbioc
Depends On Me
Imports Me deepSNV, diffHic, maftools, mitoClone2, scPipe
Suggests Me
Links To Me bamsignals, csaw, deepSNV, DiffBind, diffHic, epialleleR, FLAMES, h5vc, maftools, methylKit, mitoClone2, podkat, QuasR, raer, Rfastp, Rsamtools, scPipe, ShortRead, TransView, VariantAnnotation, jackalope
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Follow Installation instructions to use this package in your R session.

Source Package Rhtslib_3.0.0.tar.gz
Windows Binary
macOS Binary (x86_64) Rhtslib_3.0.0.tgz
macOS Binary (arm64) Rhtslib_3.0.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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