recipe bioconductor-normr

Normalization and difference calling in ChIP-seq data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/normr.html

License:

GPL-2

Recipe:

/bioconductor-normr/meta.yaml

Robust normalization and difference calling procedures for ChIP-seq and alike data. Read counts are modeled jointly as a binomial mixture model with a user-specified number of components. A fitted background estimate accounts for the effect of enrichment in certain regions and, therefore, represents an appropriate null hypothesis. This robust background is used to identify significantly enriched or depleted regions.

package bioconductor-normr

Versions:

1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0, 

1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.0-0

Depends:

• bioconductor-bamsignals >=1.30.0,<1.31.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-qvalue >=2.30.0,<2.31.0

• bioconductor-rtracklayer >=1.58.0,<1.59.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-rcpp >=0.11

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-normr

and update with:

conda update bioconductor-normr

or use the docker container:

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

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

Download stats

Link to this page

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