Welcome to PIUMet

Network Integration of Untargeted Metabolomics

Sample files: Lipidomic peaks file · Metabolite protein terminal file · Sample Output

Also check out our Frequently Asked Questions.

Metabolomic Peaks

Upload your metabolomic peaks (terminal) file OR paste in the box.
This is a tab delimited format with three columns: m/z value, the mode of LC ('positive' or 'negative'), and a prize (sample file here).

Lipidomic Peaks

Upload your lipidomic peaks (terminal) file OR paste in the box.
This is a tab delimited format with three columns: m/z value, the mode of LC ('positive' or 'negative'), and a prize (sample file here).

Metabolites and/or Proteins

Upload your metabolites and/or proteins (terminal) file OR paste in the box.
This is a tab delimited input file with three columns that includes details about terminal proteins and metabolites: Protein and metabolite IDs (as gene symbols and HMDB IDs, respectively) go in the first column, their prizes in the second column, and the terminal type (i.e. 'Gene_Protein' for proteins or 'Metabolite' for metabolites) in the third column (sample file here).

Algorithm Parameters

Number of Trees:
Edge Reliability:
Negative Prize Degree:
Number of Repeats:

Job Parameters

Your Email Address:
(Enter email address if you would like to receive your results via email)

References:

Leila Pirhaji, Pamela Milani, Mathias Leidl, Timothy Curran, Julian Avila-Pacheco, Clary B. Clish, Forest White, Alan Saghatalian, Ernest Fraenkel. Revealing Disease-Associated Pathways by Network Integration of Untargeted Metabolomics. Nature Methods, 13,770-776(2016)[Abstract]

The PPMI interactome: iRef13_HMDB_Recon_network.zip

Untargeted data: Untargeted_data.rar