recipe bioconductor-exomepeak2

Bias Awared Peak Calling and Quantification for MeRIP-Seq

Homepage

https://bioconductor.org/packages/3.12/bioc/html/exomePeak2.html

License

GPL (>= 2)

Recipe

/bioconductor-exomepeak2/meta.yaml

exomePeak2 provides bias awared quantification and peak detection on Methylated RNA immunoprecipitation sequencing data (MeRIP-Seq). MeRIP-Seq is a commonly applied sequencing technology to measure the transcriptome-wide location and abundance of RNA modification sites under a given cellular condition. However, the quantification and peak calling in MeRIP-Seq are sensitive to PCR amplification bias which is prevalent in next generation sequencing (NGS) techniques. In addition, the RNA-Seq based count data exhibits biological variation in small reads count. exomePeak2 collectively address these challanges by introducing a rich set of robust data science models tailored for MeRIP-Seq. With exomePeak2, users can perform peak calling, modification site quantification, and differential analysis with a straightforward one-step function. Alternatively, users could define personalized methods for their own analysis through multi-step functions and diagnostic plots.

package bioconductor-exomepeak2

Versions

1.2.0-0,  1.0.0-0

Depends

• bioconductor-apeglm >=1.12.0,<1.13.0

• bioconductor-biobase >=2.50.0,<2.51.0

• bioconductor-biocparallel >=1.24.0,<1.25.0

• bioconductor-biostrings >=2.58.0,<2.59.0

• bioconductor-bsgenome >=1.58.0,<1.59.0

• bioconductor-cqn >=1.36.0,<1.37.0

• bioconductor-deseq2 >=1.30.0,<1.31.0

• bioconductor-genefilter >=1.72.0,<1.73.0

• bioconductor-genomeinfodb >=1.26.0,<1.27.0

• bioconductor-genomicalignments >=1.26.0,<1.27.0

• bioconductor-genomicfeatures >=1.42.0,<1.43.0

• bioconductor-genomicranges >=1.42.0,<1.43.0

• bioconductor-iranges >=2.24.0,<2.25.0

• bioconductor-rsamtools >=2.6.0,<2.7.0

• bioconductor-rtracklayer >=1.50.0,<1.51.0

• bioconductor-s4vectors >=0.28.0,<0.29.0

• bioconductor-summarizedexperiment >=1.20.0,<1.21.0

• r-base >=4.0,<4.1.0a0

• r-ggplot2

• r-mclust

• r-reshape2

Required By

Installation

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

conda install bioconductor-exomepeak2

and update with:

conda update bioconductor-exomepeak2

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-exomepeak2:<tag>

(see bioconductor-exomepeak2/tags for valid values for <tag>)

Link to this page

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