recipe bioconductor-nparc

Non-parametric analysis of response curves for thermal proteome profiling experiments

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-nparc/meta.yaml

Perform non-parametric analysis of response curves as described by Childs, Bach, Franken et al. (2019): Non-parametric analysis of thermal proteome profiles reveals novel drug-binding proteins.

package bioconductor-nparc

versions:

1.18.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.1-0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0

depends r-base:

>=4.4,<4.5.0a0

depends r-broom:

depends r-dplyr:

depends r-magrittr:

depends r-mass:

depends r-rlang:

depends r-tidyr:

requirements:

additional platforms:

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-nparc

and update with::

   mamba update bioconductor-nparc

To create a new environment, run:

mamba create --name myenvname bioconductor-nparc

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-nparc:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-nparc/README.html)