Package Recipe 'r-crisprcleanr'

recipe r-crisprcleanr

Analysis of CRISPR functional genomics, remove false positive due to CNVs.

Homepage:: https://github.com/francescojm/CRISPRcleanR
License:: MIT / MIT
Recipe:: /r-crisprcleanr/meta.yaml

package r-crisprcleanr¶

Versions:

3.0.0-3, 3.0.0-2, 3.0.0-1, 3.0.0-0, 2.3.1-1, 2.3.1-0

Depends:

on bioconductor-biostrings
on bioconductor-dnacopy
on bioconductor-genomicalignments
on bioconductor-rqc
on bioconductor-rsubread
on bioconductor-shortread
on r-base >=4.4,<4.5.0a0
on r-biocmanager
on r-jsonlite
on r-pracma
on r-proc
on r-prroc
on r-stringr
on r-withr

Additional platforms:

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 r-crisprcleanr

to add into an existing workspace instead, run:

pixi add r-crisprcleanr

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 r-crisprcleanr

Alternatively, to install into a new environment, run:

conda create -n envname r-crisprcleanr

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/r-crisprcleanr:<tag>

(see r-crisprcleanr/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.

Download stats¶

Link to this page¶

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