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KniMet is a workflow for the post-processing of LC-MS, GC-MS and LC-IM-MS metabolomics data. It is based on the KNIME analytical platform with integrated R nodes, and allows to perform missing values imputation (MVI), feature filtering, normalisation, batch correction and feature annotation.
{"references": ["Liggi, S. et al., (2018). KniMet \u2013 A pipeline for the processing of chromatography-mass spectrometry metabolomics data. Metabolomics. doi: 10.1007/s11306-018-1349-5."]}
metanodes replaced by wrapped metanodes, added user input functionality via quickforms
metabolomics, data processing, mass spectrometry
metabolomics, data processing, mass spectrometry
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