- recipe bioconductor-adacgh2
Analysis of big data from aCGH experiments using parallel computing and ff objects
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/ADaCGH2.html
- License:
GPL (>= 3)
- Recipe:
Analysis and plotting of array CGH data. Allows usage of Circular Binary Segementation, wavelet-based smoothing (both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar), HMM, BioHMM, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.
- package bioconductor-adacgh2¶
-
- Versions:
2.38.0-0
,2.34.0-2
,2.34.0-1
,2.34.0-0
,2.32.0-0
,2.30.0-1
,2.30.0-0
,2.28.0-0
,2.26.0-0
,2.38.0-0
,2.34.0-2
,2.34.0-1
,2.34.0-0
,2.32.0-0
,2.30.0-1
,2.30.0-0
,2.28.0-0
,2.26.0-0
,2.24.0-1
- Depends:
bioconductor-acgh
>=1.76.0,<1.77.0
bioconductor-dnacopy
>=1.72.0,<1.73.0
bioconductor-glad
>=2.62.0,<2.63.0
bioconductor-snapcgh
>=1.68.0,<1.69.0
bioconductor-tilingarray
>=1.76.0,<1.77.0
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-adacgh2
and update with:
conda update bioconductor-adacgh2
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-adacgh2:<tag>
(see bioconductor-adacgh2/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-adacgh2/README.html)