recipe bioconductor-edaseq

Exploratory Data Analysis and Normalization for RNA-Seq

Homepage

https://bioconductor.org/packages/3.14/bioc/html/EDASeq.html

License

Artistic-2.0

Recipe

/bioconductor-edaseq/meta.yaml

Links

biotools: edaseq

Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

package bioconductor-edaseq

Versions

2.28.0-0,  2.26.0-0,  2.24.0-1,  2.24.0-0,  2.22.0-0,  2.20.0-0,  2.18.0-1,  2.16.0-0,  2.14.1-0, 

2.28.0-0,  2.26.0-0,  2.24.0-1,  2.24.0-0,  2.22.0-0,  2.20.0-0,  2.18.0-1,  2.16.0-0,  2.14.1-0,  2.12.0-0,  2.10.0-0,  2.8.0-0

Depends

• bioconductor-annotationdbi >=1.56.0,<1.57.0

• bioconductor-aroma.light >=3.24.0,<3.25.0

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biomart >=2.50.0,<2.51.0

• bioconductor-biostrings >=2.62.0,<2.63.0

• bioconductor-genomicfeatures >=1.46.0,<1.47.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-rsamtools >=2.10.0,<2.11.0

• bioconductor-shortread >=1.52.0,<1.53.0

• r-base >=4.1,<4.2.0a0

• r-biocmanager

Required By

• bioconductor-ruvseq

• bioconductor-ribosomeprofilingqc

• bioconductor-damirseq

• bioconductor-metaseqr2

• bioconductor-consensusde

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-edaseq

and update with:

conda update bioconductor-edaseq

or use the docker container:

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

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

Download stats

Link to this page

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