- recipe bioconductor-csar
Statistical tools for the analysis of ChIP-seq data
- Homepage:
- License:
Artistic-2.0
- Recipe:
Statistical tools for ChIP-seq data analysis. The package includes the statistical method described in Kaufmann et al. (2009) PLoS Biology: 7(4):e1000090. Briefly, Taking the average DNA fragment size subjected to sequencing into account, the software calculates genomic single-nucleotide read-enrichment values. After normalization, sample and control are compared using a test based on the Poisson distribution. Test statistic thresholds to control the false discovery rate are obtained through random permutation.
- package bioconductor-csar¶
-
- Versions:
1.50.0-0
,1.46.0-2
,1.46.0-1
,1.46.0-0
,1.44.0-0
,1.42.0-1
,1.42.0-0
,1.40.0-0
,1.38.0-0
,1.50.0-0
,1.46.0-2
,1.46.0-1
,1.46.0-0
,1.44.0-0
,1.42.0-1
,1.42.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-1
,1.34.0-1
,1.34.0-0
- Depends:
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-s4vectors
>=0.36.0,<0.37.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-csar
and update with:
conda update bioconductor-csar
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-csar:<tag>
(see bioconductor-csar/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-csar/README.html)