Data Formatting Help¶
Variablespage of Metaboverse, launch the
The statistical procedures used by this module assume data are normally distributed, such as is the case with proteomics and metabolomics data. However, for transcriptomics data, which follow a negative binomial distribution, a package, such as DESeq2 or limma should be used. The resulting fold change and adjusted p-values should then be isolated from the results, exported into a tab-delimited file, and uploaded for use in Metaboverse.
Check Namesbutton to cross-reference the names you provided with MetaboAnalyst to improve the chances that the metabolite correctly maps to the metabolic network.
Flux Metabolomics Data¶
ionization products with Escher-Trace and analyzing derived steady-state metabolomics data (i.e. M+0) with Metaboverse’s reaction pattern search engine. Cross-referencing the outputs of these two tools may then provide biological clues for their system, such as to the downstream outcomes of differential metabolite flux.