MAGI is a tool to quickly find and score consensus between metabolite identifications and gene annotations. Upload FASTA and metabolite files here to begin.

If you found MAGI to be useful for your research, please use the following citation:

Onur Erbilgin, Oliver RĂ¼bel, Katherine B Louie, Matthew Trinh, Markus DeRaad, Tony Wildish, Daniel Udwary, Cindi Hoover, Sam Deutsch, Trent R Northen, Benjamin P Bowen. MAGI: A Method for Metabolite Annotation and Gene Integration., ACS Chem Biol. 2019 Apr 19;14(4):704-714. doi: 10.1021/acschembio.8b01107. DOI: 10.1021/acschembio.8b01107 Epub 2019 Apr 4. PMID: 30896917.

Your Job ID is 27645674-1400-44d4-8370-7495d52365e1

Your Job URL is magi.nersc.gov/jobs/?id=27645674-1400-44d4-8370-7495d52365e1

Files (Find Specifications Here)

FASTA file (max 10,000 genes):
Metabolite file (max 25,000 compounds):

Personal Information

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For help, click here.

MAGI Options

Need example files?

Download here: (.zip)

Additional Parameters

Advanced Search Parameters

MAGI score weights:

Accurate mass search parameters:

Notes