- recipe bioconductor-normr
Normalization and difference calling in ChIP-seq data
- Homepage:
- License:
GPL-2
- Recipe:
Robust normalization and difference calling procedures for ChIP-seq and alike data. Read counts are modeled jointly as a binomial mixture model with a user-specified number of components. A fitted background estimate accounts for the effect of enrichment in certain regions and, therefore, represents an appropriate null hypothesis. This robust background is used to identify significantly enriched or depleted regions.
- package bioconductor-normr¶
-
- Versions:
1.24.0-0
,1.20.0-2
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.24.0-0
,1.20.0-2
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
- Depends:
bioconductor-bamsignals
>=1.30.0,<1.31.0
bioconductor-genomeinfodb
>=1.34.0,<1.35.0
bioconductor-genomicranges
>=1.50.0,<1.51.0
bioconductor-iranges
>=2.32.0,<2.33.0
bioconductor-qvalue
>=2.30.0,<2.31.0
bioconductor-rtracklayer
>=1.58.0,<1.59.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
libstdcxx-ng
>=12
r-base
>=4.2,<4.3.0a0
r-rcpp
>=0.11
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-normr
and update with:
conda update bioconductor-normr
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-normr:<tag>
(see bioconductor-normr/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-normr/README.html)