Boosting the Speed and Accuracy of Protein Quantification Algorithms in Mass Spectrometry-Based Proteomics
Year: 2026
Type: article
Abstract: Current methods for protein level quantification in mass spectrometry-based proteomics do not scale with the increasing number of samples because of limited system memory and algorithmic complexities. Here we propose a new data structure that supports parsing of input as data stream, improve state of the art quantitation methods in performance by orders of magnitudes, and provide a generic method to boost the precision and accuracy by fragment weighting.
Source: Journal of Proteome Research
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
Awards: G2086220221, G7772630776
OpenAlex ID: W7124976863
