recipe bioconductor-peacoqc

Peak-based selection of high quality cytometry data

Homepage:

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

License:

GPL (>=3)

Recipe:

/bioconductor-peacoqc/meta.yaml

This is a package that includes pre-processing and quality control functions that can remove margin events, compensate and transform the data and that will use PeacoQCSignalStability for quality control. This last function will first detect peaks in each channel of the flowframe. It will remove anomalies based on the IsolationTree function and the MAD outlier detection method. This package can be used for both flow- and mass cytometry data.

package bioconductor-peacoqc

Versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  0.99.25-2,  0.99.25-1

Depends:

• bioconductor-complexheatmap >=2.14.0,<2.15.0

• bioconductor-flowcore >=2.10.0,<2.11.0

• bioconductor-flowworkspace >=4.10.0,<4.11.0

• r-base >=4.2,<4.3.0a0

• r-circlize

• r-ggplot2

• r-gridextra

• r-plyr

Required By:

Installation

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

conda install bioconductor-peacoqc

and update with:

conda update bioconductor-peacoqc

or use the docker container:

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

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