Package Recipe 'bioconductor-outrider'

recipe bioconductor-outrider

OUTRIDER - OUTlier in RNA-Seq fInDER

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/OUTRIDER.html
License:: MIT + file LICENSE
Recipe:: /bioconductor-outrider/meta.yaml

Identification of aberrant gene expression in RNA-seq data. Read count expectations are modeled by an autoencoder to control for confounders in the data. Given these expectations, the RNA-seq read counts are assumed to follow a negative binomial distribution with a gene-specific dispersion. Outliers are then identified as read counts that significantly deviate from this distribution. Furthermore, OUTRIDER provides useful plotting functions to analyze and visualize the results.

package bioconductor-outrider¶

Versions:

1.28.0-0, 1.26.3-0, 1.24.0-0, 1.20.1-0, 1.20.0-0, 1.18.1-0, 1.16.0-1, 1.16.0-0, 1.12.0-2,

1.28.0-0, 1.26.3-0, 1.24.0-0, 1.20.1-0, 1.20.0-0, 1.18.1-0, 1.16.0-1, 1.16.0-0, 1.12.0-2, 1.12.0-1, 1.12.0-0, 1.10.0-0, 1.8.0-1, 1.8.0-0, 1.6.0-0, 1.4.0-0, 1.2.0-1, 1.0.2-0, 1.0.1-0

Depends:

on bioconductor-biocgenerics >=0.56.0,<0.57.0
on bioconductor-biocgenerics >=0.56.0,<0.57.0a0
on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-biocparallel >=1.44.0,<1.45.0a0
on bioconductor-deseq2 >=1.50.0,<1.51.0
on bioconductor-deseq2 >=1.50.2,<1.51.0a0
on bioconductor-genomicfeatures >=1.62.0,<1.63.0
on bioconductor-genomicfeatures >=1.62.0,<1.63.0a0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-genomicranges >=1.62.1,<1.63.0a0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-iranges >=2.44.0,<2.45.0a0
on bioconductor-pcamethods >=2.2.0,<2.3.0
on bioconductor-pcamethods >=2.2.0,<2.3.0a0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-s4vectors >=0.48.0,<0.49.0a0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0a0
on bioconductor-txdbmaker >=1.6.0,<1.7.0
on bioconductor-txdbmaker >=1.6.2,<1.7.0a0
on libblas >=3.9.0,<4.0a0
on libgcc >=14
on liblapack >=3.9.0,<4.0a0
on liblzma >=5.8.2,<6.0a0
on libstdcxx >=14
on libzlib >=1.3.1,<2.0a0
on r-base >=4.5,<4.6.0a0
on r-bbmisc
on r-data.table
on r-generics
on r-ggplot2
on r-ggrepel
on r-heatmaply
on r-matrixstats
on r-pheatmap
on r-plotly
on r-plyr
on r-pracma
on r-prroc
on r-rcolorbrewer
on r-rcpp
on r-rcpparmadillo
on r-reshape2
on r-rmtstat
on r-scales

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-outrider

to add into an existing workspace instead, run:

pixi add bioconductor-outrider

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-outrider

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-outrider

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

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

(see bioconductor-outrider/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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-outrider/README.html)