recipe bioconductor-rhtslib

HTSlib high-throughput sequencing library as an R package

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/Rhtslib.html

License:

LGPL (>= 2)

Recipe:

/bioconductor-rhtslib/meta.yaml

Links:

biotools: rhtslib, doi: 10.1038/nmeth.3252

This package provides version 1.15.1 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").

package bioconductor-rhtslib

(downloads) docker_bioconductor-rhtslib

versions:
2.4.0-1,  2.4.0-0,  2.2.0-0,  2.0.0-1,  2.0.0-0,  1.26.0-2,  1.26.0-1,  1.26.0-0,  1.24.0-0, 

2.4.0-1,  2.4.0-0,  2.2.0-0,  2.0.0-1,  2.0.0-0,  1.26.0-2,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.1-1,  1.16.1-0,  1.14.1-0,  1.14.0-0,  1.12.1-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0

depends bioconductor-zlibbioc:

>=1.48.0,<1.49.0

depends bioconductor-zlibbioc:

>=1.48.0,<1.49.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-rhtslib

and update with::

   mamba update bioconductor-rhtslib

To create a new environment, run:

mamba create --name myenvname bioconductor-rhtslib

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/bioconductor-rhtslib:<tag>

(see `bioconductor-rhtslib/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-rhtslib/README.html)