recipe bioconductor-les

Identifying Differential Effects in Tiling Microarray Data

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-les/meta.yaml

Links:

biotools: les, doi: 10.1089/cmb.2008.0226

The 'les' package estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.

package bioconductor-les

Versions:

1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0, 

1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-0

Depends:

• r-base >=4.1,<4.2.0a0

• r-boot

• r-fdrtool

• r-gplots

• r-rcolorbrewer

Required By:

• bioconductor-gsri

Installation

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

conda install bioconductor-les

and update with:

conda update bioconductor-les

or use the docker container:

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

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

Download stats

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