recipe bioconductor-methylkit

DNA methylation analysis from high-throughput bisulfite sequencing results

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-methylkit/meta.yaml

Links:

biotools: methylkit

methylKit is an R package for DNA methylation analysis and annotation from high-throughput bisulfite sequencing. The package is designed to deal with sequencing data from RRBS and its variants, but also target-capture methods and whole genome bisulfite sequencing. It also has functions to analyze base-pair resolution 5hmC data from experimental protocols such as oxBS-Seq and TAB-Seq. Methylation calling can be performed directly from Bismark aligned BAM files.

package bioconductor-methylkit

Versions:

1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.1-0,  1.16.0-0,  1.14.1-0,  1.12.0-0,  1.10.0-1, 

1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.1-0,  1.16.0-0,  1.14.1-0,  1.12.0-0,  1.10.0-1,  1.8.1-0,  1.8.0-0,  1.6.3-0,  1.4.0-0,  1.2.4-0,  1.0.0-0,  0.99.2-0

Depends:

• bioconductor-fastseg >=1.40.0,<1.41.0

• bioconductor-genomeinfodb >=1.30.0,<1.31.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-limma >=3.50.0,<3.51.0

• bioconductor-qvalue >=2.26.0,<2.27.0

• bioconductor-rhtslib >=1.26.0,<1.27.0

• bioconductor-rsamtools >=2.10.0,<2.11.0

• bioconductor-rtracklayer >=1.54.0,<1.55.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-zlibbioc >=1.40.0,<1.41.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.1,<4.2.0a0

• r-data.table >=1.9.6

• r-emdbook

• r-gtools

• r-kernsmooth

• r-mclust

• r-mgcv

• r-r.utils

• r-rcpp

Required By:

• bioconductor-methylinheritance

• bioconductor-methcp

• bioconductor-deconvr

• bioconductor-methinheritsim

Installation

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

conda install bioconductor-methylkit

and update with:

conda update bioconductor-methylkit

or use the docker container:

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

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

Download stats

Link to this page

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