-
recipe
bioconductor-metnet
Inferring metabolic networks from untargeted high-resolution mass spectrometry data
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/MetNet.html
- License
GPL (>= 3)
- Recipe
MetNet contains functionality to infer metabolic network topologies from quantitative data and high-resolution mass/charge information. Using statistical models (including correlation, mutual information, regression and Bayes statistics) and quantitative data (intensity values of features) adjacency matrices are inferred that can be combined to a consensus matrix. Mass differences calculated between mass/charge values of features will be matched against a data frame of supplied mass/charge differences referring to transformations of enzymatic activities. In a third step, the two matrices are combined to form a adjacency matrix inferred from both quantitative and structure information.
-
package
bioconductor-metnet
¶ -
- Versions
1.8.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.0.0-0
- Depends
bioconductor-biocparallel
>=1.24.0,<1.25.0
bioconductor-genie3
>=1.12.0,<1.13.0
r-base
>=4.0,<4.1.0a0
r-bnlearn
>=4.3
r-mpmi
>=0.42
r-parmigene
>=1.0.2
r-ppcor
>=1.1
r-sna
>=2.4
r-stabs
>=0.6
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-metnet
and update with:
conda update bioconductor-metnet
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-metnet:<tag>
(see bioconductor-metnet/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-metnet/README.html)