recipe bioconductor-qpcrnorm

Data-driven normalization strategies for high-throughput qPCR data.

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/qpcrNorm.html

License:

LGPL (>= 2)

Recipe:

/bioconductor-qpcrnorm/meta.yaml

Links:

biotools: qpcrnorm, doi: 10.1186/1471-2105-10-110

The package contains functions to perform normalization of high-throughput qPCR data. Basic functions for processing raw Ct data plus functions to generate diagnostic plots are also available.

package bioconductor-qpcrnorm

(downloads) docker_bioconductor-qpcrnorm

versions:
1.60.0-01.58.0-01.56.0-01.52.0-01.50.0-01.48.0-11.48.0-01.46.0-01.44.0-0

1.60.0-01.58.0-01.56.0-01.52.0-01.50.0-01.48.0-11.48.0-01.46.0-01.44.0-01.42.0-11.40.0-11.40.0-01.38.0-01.36.0-01.34.0-0

depends bioconductor-affy:

>=1.80.0,<1.81.0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-limma:

>=3.58.0,<3.59.0

depends r-base:

>=4.3,<4.4.0a0

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-qpcrnorm

and update with::

   mamba update bioconductor-qpcrnorm

To create a new environment, run:

mamba create --name myenvname bioconductor-qpcrnorm

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-qpcrnorm:<tag>

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

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