recipe bioconductor-dapardata

Data accompanying the DAPAR and Prostar packages

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/DAPARdata.html

License:

GPL-2

Recipe:

/bioconductor-dapardata/meta.yaml

Mass-spectrometry based UPS proteomics data sets from Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94 and Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32.

package bioconductor-dapardata

(downloads) docker_bioconductor-dapardata

versions:
1.32.0-0,  1.30.0-0,  1.28.0-0,  1.24.0-1,  1.24.0-0,  1.22.1-0,  1.20.1-0,  1.20.0-0,  1.18.0-0, 

1.32.0-0,  1.30.0-0,  1.28.0-0,  1.24.0-1,  1.24.0-0,  1.22.1-0,  1.20.1-0,  1.20.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.12.1-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-msnbase:

>=2.28.0,<2.29.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-dapardata

and update with::

   mamba update bioconductor-dapardata

To create a new environment, run:

mamba create --name myenvname bioconductor-dapardata

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-dapardata:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda 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-dapardata/README.html)