mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data

Area of Science:

• Proteomics
• Computational Biology
• Mass Spectrometry Data Analysis

Background:

• Modern mass spectrometry generates quantitative proteome data.
• Existing pipelines identify unmodified peptides and quantify proteins.
• Lack of interoperable tools hinders computational exploration of peptide and modification hypotheses.

Purpose of the Study:

• Introduce mzStudio, an open-source Python module and desktop application.
• Provide a GUI for interactive examination and annotation of spectral features.
• Enable re-searching of peptide data to test modifications and algorithms.

Main Methods:

• Developed mzStudio as an open-source Python module.
• Utilized the multiplierz project and a common application programming interface (mzAPI).
• Ensured compatibility with various mass spectrometry platforms and search engines.

Main Results:

• mzStudio offers a highly interactive GUI for data exploration.
• Supports re-searching PSMs for novel modifications and algorithms.
• Facilitates sharing results and integrating other software tools.
• Enables creation of publication-quality graphics.

Conclusions:

• mzStudio empowers scientists to computationally explore and document novel hypotheses.
• Enhances the digital provenance of data analytics for peptide assignments.
• Promotes collaboration and reproducible research in proteomics.