recipe bioconductor-rnaseqsamplesize

RnaSeqSampleSize

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-rnaseqsamplesize/meta.yaml

RnaSeqSampleSize package provides a sample size calculation method based on negative binomial model and the exact test for assessing differential expression analysis of RNA-seq data. It controls FDR for multiple testing and utilizes the average read count and dispersion distributions from real data to estimate a more reliable sample size. It is also equipped with several unique features, including estimation for interested genes or pathway, power curve visualization, and parameter optimization.

package bioconductor-rnaseqsamplesize

Versions:

2.8.0-0,  2.4.1-1,  2.4.1-0,  2.4.0-0,  2.2.0-0,  2.0.0-2,  2.0.0-1,  1.17.0-1,  1.16.0-1, 

2.8.0-0,  2.4.1-1,  2.4.1-0,  2.4.0-0,  2.2.0-0,  2.0.0-2,  2.0.0-1,  1.17.0-1,  1.16.0-1,  1.14.0-0,  1.12.0-2

Depends:

• bioconductor-biomart >=2.54.0,<2.55.0

• bioconductor-edger >=3.40.0,<3.41.0

• bioconductor-keggrest >=1.38.0,<1.39.0

• bioconductor-recount >=1.24.0,<1.25.0

• bioconductor-rnaseqsamplesizedata >=1.30.0,<1.31.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.2,<4.3.0a0

• r-dplyr

• r-ggplot2

• r-ggpubr

• r-heatmap3

• r-matlab

• r-rcpp >=0.11.2

• r-tidyr

• r-tidyselect

Required By:

Installation

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

conda install bioconductor-rnaseqsamplesize

and update with:

conda update bioconductor-rnaseqsamplesize

or use the docker container:

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

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

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