recipe bioconductor-logitt

logit-t Package

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/logitT.html

License:

GPL (>= 2)

Recipe:

/bioconductor-logitt/meta.yaml

Links:

biotools: logitt, doi: 10.1038/nmeth.3252

The logitT library implements the Logit-t algorithm introduced in --A high performance test of differential gene expression for oligonucleotide arrays-- by William J Lemon, Sandya Liyanarachchi and Ming You for use with Affymetrix data stored in an AffyBatch object in R.

package bioconductor-logitt

(downloads) docker_bioconductor-logitt

versions:
1.58.0-01.56.0-11.56.0-01.52.0-21.52.0-11.52.0-01.50.0-01.48.0-11.48.0-0

1.58.0-01.56.0-11.56.0-01.52.0-21.52.0-11.52.0-01.50.0-01.48.0-11.48.0-01.46.0-01.44.0-01.42.0-11.40.0-01.38.0-01.36.0-0

depends bioconductor-affy:

>=1.78.0,<1.79.0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

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-logitt

and update with::

   mamba update bioconductor-logitt

To create a new environment, run:

mamba create --name myenvname bioconductor-logitt

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-logitt:<tag>

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

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