recipe bioconductor-gcapc

GC Aware Peak Caller

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-gcapc/meta.yaml

Peak calling for ChIP-seq data with consideration of potential GC bias in sequencing reads. GC bias is first estimated with generalized linear mixture models using effective GC strategy, then applied into peak significance estimation.

package bioconductor-gcapc

Versions:

1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-bsgenome >=1.66.0,<1.67.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomicalignments >=1.34.0,<1.35.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-rsamtools >=2.14.0,<2.15.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• r-base >=4.2,<4.3.0a0

• r-mass

• r-matrixstats

Required By:

Installation

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

conda install bioconductor-gcapc

and update with:

conda update bioconductor-gcapc

or use the docker container:

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

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

Download stats

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