MetaboAnalyst

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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;

Organism:

Metabolomics Type:

Genes/proteins with optional fold changes

ID Type:

Compound list with optional fold changes

ID Type:

Example Datasets

Please select one example dataset from below:

ID Type	Organism	Data Description	Instrumentation
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.

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