singjc/redeem
Repository for Deep Learning Models for Mass Spectrometry written in Rust
This tool helps analytical chemists and proteomics researchers predict key properties of peptides from mass spectrometry data. You input peptide sequences and it provides predicted retention times (RT), collision cross-sections (CCS), and MS2 fragment ion intensities. It's designed for scientists working with mass spectrometers who need to interpret or validate their experimental results.
Use this if you need to predict peptide properties like retention time or collision cross-section, or rescore peptide-spectrum matches (PSMs) in your mass spectrometry experiments.
Not ideal if you are looking for a standalone graphical user interface for general proteomics data analysis, as this is primarily a programmatic library.
Stars
16
Forks
2
Language
Rust
License
BSD-3-Clause
Category
Last pushed
Feb 22, 2026
Commits (30d)
0
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