eMZed 3: flexible and interactive development of scalable LC-MS/MS data analysis workflows in python
Uwe Schmitt, Jethro Hemmann, Nicola Zamboni, Julia A Vorholt, Patrick Kiefer, Guoqiang Yu · 2026
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Description
A team of software researchers present eMZed 3 in this 2026 paper, a Python framework for studying mass spectrometry data. The method at issue pairs liquid chromatography with tandem mass spectrometry, a workhorse for finding what is in a sample. Analysts need software that bends to many different tasks.
The new version lets users build workflows that scale and stay interactive, drawing on Python's wide library base. It now runs on Python 3 and handles chromatogram-based data. A new SQLite back end can process data too large for memory. Rich visual tools let users explore results by hand. The project is split into three packages: a core, a graphics package, and a package that adds a full development setting. The design serves labs whose analysis needs change from project to project.
Catalog record
| CREATOR | Uwe Schmitt, Jethro Hemmann, Nicola Zamboni, Julia A Vorholt, Patrick Kiefer, Guoqiang Yu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 16 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |