- recipe bioconductor-gcapc
GC Aware Peak Caller
- Homepage:
- License:
GPL-3
- Recipe:
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
- 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¶
Link to this page¶
Render an badge with the following MarkDown:
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