- recipe bioconductor-quasr
Quantify and Annotate Short Reads in R
- Homepage:
- License:
GPL-2
- Recipe:
- Links:
biotools: quasr
This package provides a framework for the quantification and analysis of Short Reads. It covers a complete workflow starting from raw sequence reads, over creation of alignments and quality control plots, to the quantification of genomic regions of interest.
- package bioconductor-quasr¶
- versions:
1.46.0-0,1.42.1-0,1.40.1-0,1.38.0-1,1.38.0-0,1.34.0-2,1.34.0-1,1.34.0-0,1.32.0-0,1.46.0-0,1.42.1-0,1.40.1-0,1.38.0-1,1.38.0-0,1.34.0-2,1.34.0-1,1.34.0-0,1.32.0-0,1.30.0-2,1.30.0-1,1.30.0-0,1.28.0-0,1.26.0-0,1.24.2-0,1.22.1-0,1.20.0-0,1.18.0-0- depends bioconductor-annotationdbi:
>=1.68.0,<1.69.0- depends bioconductor-annotationdbi:
>=1.68.0,<1.69.0a0- depends bioconductor-biobase:
>=2.66.0,<2.67.0- depends bioconductor-biobase:
>=2.66.0,<2.67.0a0- depends bioconductor-biocgenerics:
>=0.52.0,<0.53.0- depends bioconductor-biocgenerics:
>=0.52.0,<0.53.0a0- depends bioconductor-biocparallel:
>=1.40.0,<1.41.0- depends bioconductor-biocparallel:
>=1.40.0,<1.41.0a0- depends bioconductor-biostrings:
>=2.74.0,<2.75.0- depends bioconductor-biostrings:
>=2.74.0,<2.75.0a0- depends bioconductor-bsgenome:
>=1.74.0,<1.75.0- depends bioconductor-bsgenome:
>=1.74.0,<1.75.0a0- depends bioconductor-genomeinfodb:
>=1.42.0,<1.43.0- depends bioconductor-genomeinfodb:
>=1.42.0,<1.43.0a0- depends bioconductor-genomicfeatures:
>=1.58.0,<1.59.0- depends bioconductor-genomicfeatures:
>=1.58.0,<1.59.0a0- depends bioconductor-genomicfiles:
>=1.42.0,<1.43.0- depends bioconductor-genomicfiles:
>=1.42.0,<1.43.0a0- depends bioconductor-genomicranges:
>=1.58.0,<1.59.0- depends bioconductor-genomicranges:
>=1.58.0,<1.59.0a0- depends bioconductor-iranges:
>=2.40.0,<2.41.0- depends bioconductor-iranges:
>=2.40.0,<2.41.0a0- depends bioconductor-rbowtie:
>=1.46.0,<1.47.0- depends bioconductor-rbowtie:
>=1.46.0,<1.47.0a0- depends bioconductor-rhtslib:
>=3.2.0,<3.3.0- depends bioconductor-rhtslib:
>=3.2.0,<3.3.0a0- depends bioconductor-rsamtools:
>=2.22.0,<2.23.0- depends bioconductor-rsamtools:
>=2.22.0,<2.23.0a0- depends bioconductor-rtracklayer:
>=1.66.0,<1.67.0- depends bioconductor-rtracklayer:
>=1.66.0,<1.67.0a0- depends bioconductor-s4vectors:
>=0.44.0,<0.45.0- depends bioconductor-s4vectors:
>=0.44.0,<0.45.0a0- depends bioconductor-shortread:
>=1.64.0,<1.65.0- depends bioconductor-shortread:
>=1.64.0,<1.65.0a0- depends bioconductor-txdbmaker:
>=1.2.0,<1.3.0- depends bioconductor-txdbmaker:
>=1.2.0,<1.3.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libcxx:
>=18- depends liblapack:
>=3.9.0,<4.0a0- depends r-base:
>=4.4,<4.5.0a0- requirements:
- additional platforms:
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-quasr and update with:: mamba update bioconductor-quasr
To create a new environment, run:
mamba create --name myenvname bioconductor-quasr
with
myenvnamebeing 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-quasr:<tag> (see `bioconductor-quasr/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-quasr/README.html)
