# Mummichog 3, aligning mass spectrometry data to biological networks

> **NIH NIH U01** · JACKSON LABORATORY · 2021 · $461,019

## Abstract

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, LC-
MS/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:** 10266173
- **Project number:** 5U01CA235493-04
- **Recipient organization:** JACKSON LABORATORY
- **Principal Investigator:** Shuzhao Li
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $461,019
- **Award type:** 5
- **Project period:** 2018-09-06 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10266173

## Citation

> US National Institutes of Health, RePORTER application 10266173, Mummichog 3, aligning mass spectrometry data to biological networks (5U01CA235493-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10266173. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*