recipe r-gwpcr

Implements the necessary distributions and parameter estimation procedures for a model of amplification and high-troughput sequencing. The model is based on a mechanistic model of PCR amplification as a Galton-Watson branching process, and on Poissonan sampling to model high-throughput sequencing.

Homepage:

http://www.cibiv.at/~pflug_/trumicount

License:

AGPLv3

Recipe:

/r-gwpcr/meta.yaml

package r-gwpcr

versions:

1.0.4-5,  1.0.4-4,  1.0.4-3,  1.0.4-2,  1.0.4-1,  1.0.4-0,  1.0.3-0,  1.0.2-0,  1.0-0, 

1.0.4-5,  1.0.4-4,  1.0.4-3,  1.0.4-2,  1.0.4-1,  1.0.4-0,  1.0.3-0,  1.0.2-0,  1.0-0,  0.9.11-2,  0.9.11-1,  0.9.11-0,  0.9.10-4,  0.9.10-3,  0.9.10-2,  0.9.10-1,  0.9.10-0,  0.9.9-0

depends libgcc-ng:

>=12

depends r-akima:

depends r-base:

>=4.3,<4.4.0a0

depends r-data.table:

depends r-statmod:

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 r-gwpcr

and update with::

   mamba update r-gwpcr

To create a new environment, run:

mamba create --name myenvname r-gwpcr

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/r-gwpcr:<tag>

(see `r-gwpcr/tags`_ for valid values for ``<tag>``)

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