# Mummichog 3, aligning mass spectrometry data to biological networks - Neutral Loss

> **NIH NIH U01** · JACKSON LABORATORY · 2021 · $110,203

## Abstract

PROJECT SUMMARY / ABSTRACT
The mummichog software was initially published in 2013, as a computational approach to match patterns in
metabolomics data to known biochemical networks, without the requirement of upfront metabolite identification.
This approach enables rapid generation of biological hypotheses from untargeted data, and has gained
considerable popularity, which also creates urgent needs to upgrade the software itself. This proposal aims to
add a rich user interface, and better support of LC-MS, LCMS/ MS, IMS/MS and GC-MS. Furthermore, this work
will make a conceptual leap to establish a framework of network alignment as a vehicle to interpret metabolomics
data by integrating multiple layers of information. The new development will be integrated into XCMS Online and
MetaboAnalyst, and will be made freely available as modular software tools.

## Key facts

- **NIH application ID:** 10397317
- **Project number:** 3U01CA235493-04S2
- **Recipient organization:** JACKSON LABORATORY
- **Principal Investigator:** Shuzhao Li
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $110,203
- **Award type:** 3
- **Project period:** 2018-09-06 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10397317

## Citation

> US National Institutes of Health, RePORTER application 10397317, Mummichog 3, aligning mass spectrometry data to biological networks - Neutral Loss (3U01CA235493-04S2). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10397317. Licensed CC0.

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