recipe bioconductor-normr

Normalization and difference calling in ChIP-seq data

Homepage:

https://bioconductor.org/packages/3.18/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:

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1, 

1.28.0-0,  1.26.0-0,  1.24.0-1,  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:

>=1.34.0,<1.35.0

depends bioconductor-bamsignals:

>=1.34.0,<1.35.0a0

depends bioconductor-genomeinfodb:

>=1.38.0,<1.39.0

depends bioconductor-genomeinfodb:

>=1.38.1,<1.39.0a0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-genomicranges:

>=1.54.1,<1.55.0a0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0a0

depends bioconductor-qvalue:

>=2.34.0,<2.35.0

depends bioconductor-qvalue:

>=2.34.0,<2.35.0a0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-rcpp:

>=0.11

requirements:

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-normr

and update with::

   mamba update bioconductor-normr

To create a new environment, run:

mamba create --name myenvname bioconductor-normr

with myenvname being 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-normr:<tag>

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

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