Intelligent Metadata Compilation to Enhance Synthesis of Mass Spectrometry-Based Proteomics

Develops automated workflows extracting and standardizing proteomics metadata using bioinformatics and natural language processing. Enhances PRIDE repository accessibility for large-scale data integration and machine-learning driven discovery.

Data and Resources

Additional Info

Field Value
Author Wout Bittremieux
Last Updated September 10, 2026, 18:10 (UTC)
Published August 5, 2026, 18:10 (UTC)
Citation Wout Bittremieux 2025. Intelligent Metadata Compilation to Enhance Synthesis of Mass Spectrometry-Based Proteomics. CyVerse Data Commons.
Description Develops automated workflows extracting and standardizing proteomics metadata using bioinformatics and natural language processing. Enhances PRIDE repository accessibility for large-scale data integration and machine-learning driven discovery.
PublicationYear 2025
Publisher CyVerse Data Commons
Rights This material is based upon work supported by the U.S. National Science Foundation under Award No. #2335029. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.
Subject mass spectrometry, metadata standardization, proteomics databases, data reusability, natural language processing, bioinformatics
de_created_date 2026-03-04T17:20:22Z
de_modified_date 2026-07-28T22:07:47Z