Upload your data

This module is designed for integrative analysis of transcriptomics/proteomics and metabolomics data at pathway level.
  • Transcriptomics / Proteomics:
    • A list of significant genes (or proteins) with optional fold change values;
  • Metabolomics:
    • Targeted metabolomics: a list of significant metabolites (or compounds of interest) with optional fold change values;
    • Untargeted metabolomics: a complete peak list. Peak names must be their numeric mass (m/z) values with optional retention times;
Try our example
Example Datasets
Please select one example dataset from below:
ID TypeOrganismData DescriptionInstrumentation
Genes - Compounds
Human A multiomics study of COVID-19 (covid vs. healthy) from Ariel et al. This data includes 1,659 DE genes and 19 DE metabolites. Transcriptomics: Illumina RNA-Seq;
Metabolomics: GC-Q/E-MS.
Genes - Peaks
Human A study on clinical tolerance on infection of P. vivax between patients (Semi-immune vs. Naïve) from Li et al). Total of 625 DE genes and a complete peak list are included. Transcriptomics: Illumina HiSeq 2500;
Metabolomics: LC-HFQ/E-MS (HILIC).
Proteins - Compounds
Human A subset of a multiomics study of COVID-19. (see James R et al). This data compares server and moderate patients. 70 proteins and 186 compounds (HMDB ID) are included. Proteomics: Proximity Extension Assay;
Metabolomics: LC-Q/E-MS.
Administrator Entry:
Graphics Center
Your project updates can be lost!

If you did not save the project, please do so.

Do you want to save your work first?

Sorry. User login module is being upgraded. You can still process your spectra without login. We will come back soon...
Processing ....

This may take a while to complete, please be patient....

Your session is about to expire!

You will be logged off in seconds.

Do you want to continue your session?