recipe bioconductor-fccac

functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets

Homepage

https://bioconductor.org/packages/3.11/bioc/html/fCCAC.html

License

Artistic-2.0

Recipe

/bioconductor-fccac/meta.yaml

Links

biotools: fccac

An application of functional canonical correlation analysis to assess covariance of nucleic acid sequencing datasets such as chromatin immunoprecipitation followed by deep sequencing (ChIP-seq). The package can be used as well with other types of sequencing data such as neMeRIP-seq (PMID: 29489750) or with single cell RNA-seq or epigenome data provided in bigWig format.

package bioconductor-fccac

Versions

1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.0-0,  1.6.0-0,  1.2.0-0

Depends

• bioconductor-complexheatmap >=2.4.0,<2.5.0

• bioconductor-genomation >=1.20.0,<1.21.0

• bioconductor-genomicranges >=1.40.0,<1.41.0

• bioconductor-iranges >=2.22.0,<2.23.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• r-base >=4.0,<4.1.0a0

• r-fda

• r-ggplot2

• r-rcolorbrewer

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-fccac

and update with:

conda update bioconductor-fccac

or use the docker container:

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

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

Link to this page

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