-
recipe
bioconductor-martini
GWAS Incorporating Networks
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/martini.html
- License
MIT + file LICENSE
- Recipe
martini deals with the low power inherent to GWAS studies by using prior knowledge represented as a network. SNPs are the vertices of the network, and the edges represent biological relationships between them (genomic adjacency, belonging to the same gene, physical interaction between protein products). The network is scanned using SConES, which looks for groups of SNPs maximally associated with the phenotype, that form a close subnetwork.
-
package
bioconductor-martini
¶ -
- Versions
1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.0-1
,1.2.0-0
- Depends
bioconductor-rgin
>=1.10.0,<1.11.0
bioconductor-s4vectors
>=0.28.0,<0.29.0
bioconductor-snpstats
>=1.40.0,<1.41.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=7.5.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=7.5.0
r-base
>=4.0,<4.1.0a0
r-igraph
>=1.0.1
r-rcpp
>=0.12.8
r-rcppeigen
>=0.3.3.5.0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-martini
and update with:
conda update bioconductor-martini
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-martini:<tag>
(see bioconductor-martini/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-martini/README.html)