A Framework for IMS-MS Raw Data Processing written in Rust and Python.
Collisional cross-section prediction for modified and multiconformational peptides
The repository for Targeted Feature Detection and Extraction (TFD/E).
Python package for parsing Bruker timsTOF data (PRM, DDA, DIA) + 3d centroiding & noise filtering
prototype machine-learning solutions for high-throughput MS with ease
A GUI to convert Bruker Raw files (.d) to an .ms2 file format
Beta-DIA is a partially open-source, free-to-use Python software that provides comprehensive peptide/protein identification and accurate quantification results for single-shot diaPASEF data.
Pure-Rust reader for Bruker timsTOF .tdf / .tdf_bin files, with Python bindings.
Spectral library engine for timsTOF proteomics: PROBE (validate + health score), BUILD (create from .d + FASTA + de novo), REBUILD (filter bad entries, fill 1/K0, re-predict MS2). Part of ZIGGY.
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