bioconda / packages / bioconductor-metnet 1.6.0

Inferring metabolic networks from untargeted high-resolution mass spectrometry data


Info: This package contains files in non-standard labels.

conda install

  • noarch  v1.6.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-metnet
conda install -c bioconda/label/gcc7 bioconductor-metnet


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.

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