recipe bioconductor-deqms

a tool to perform statistical analysis of differential protein expression for quantitative proteomics data.

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/DEqMS.html

License:

LGPL

Recipe:

/bioconductor-deqms/meta.yaml

DEqMS is developped on top of Limma. However, Limma assumes same prior variance for all genes. In proteomics, the accuracy of protein abundance estimates varies by the number of peptides/PSMs quantified in both label-free and labelled data. Proteins quantification by multiple peptides or PSMs are more accurate. DEqMS package is able to estimate different prior variances for proteins quantified by different number of PSMs/peptides, therefore acchieving better accuracy. The package can be applied to analyze both label-free and labelled proteomics data.

package bioconductor-deqms

(downloads) docker_bioconductor-deqms

Versions:
1.16.0-0,  1.11.1-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0, 

1.16.0-0,  1.11.1-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.1-1,  1.0.1-0,  1.0.0-1,  1.0.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-deqms

and update with:

conda update bioconductor-deqms

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-deqms:<tag>

(see bioconductor-deqms/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-deqms/README.html)