recipe bioconductor-rsubread

Mapping, quantification and variant analysis of sequencing data

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/Rsubread.html

License:

GPL (>=3)

Recipe:

/bioconductor-rsubread/meta.yaml

Links:

biotools: rsubread

Alignment, quantification and analysis of RNA sequencing data (including both bulk RNA-seq and scRNA-seq) and DNA sequenicng data (including ATAC-seq, ChIP-seq, WGS, WES etc). Includes functionality for read mapping, read counting, SNP calling, structural variant detection and gene fusion discovery. Can be applied to all major sequencing techologies and to both short and long sequence reads.

package bioconductor-rsubread

(downloads) docker_bioconductor-rsubread

Versions:
2.24.0-0,  2.20.0-1,  2.20.0-0,  2.16.1-0,  2.16.0-0,  2.14.2-0,  2.12.0-1,  2.12.0-0,  2.8.2-0, 

2.24.0-0,  2.20.0-1,  2.20.0-0,  2.16.1-0,  2.16.0-0,  2.14.2-0,  2.12.0-1,  2.12.0-0,  2.8.2-0,  2.8.1-0,  2.8.0-0,  2.6.1-0,  2.4.3-0,  2.4.0-0,  2.2.1-0,  2.0.0-0,  1.34.6-0,  1.34.4-0,  1.34.0-0,  1.32.4-0,  1.32.2-0,  1.30.9-0,  1.28.1-0,  1.28.0-0,  1.26.1-0,  1.25.2-0,  1.23.0-0,  1.22.1-0

Depends:

  • on libblas >=3.9.0,<4.0a0

  • on libgcc >=14

  • on liblapack >=3.9.0,<4.0a0

  • on liblzma >=5.8.2,<6.0a0

  • on libzlib >=1.3.1,<2.0a0

  • on r-base >=4.5,<4.6.0a0

  • on r-matrix

Additional platforms:
linux-aarch64,  osx-arm64

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-rsubread

to add into an existing workspace instead, run:

pixi add bioconductor-rsubread

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-rsubread

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-rsubread

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see bioconductor-rsubread/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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