My Projects
Active
These are the projects that are in active development.
- mzspeclib-py
An implementation of the HUPO-PSI mzSpecLib format
- chemical_elements
Chemical compositions, formula parsing and isotopic pattern generation.
- mzpeaks
Representations of peaks and features for mass spectrometry data, and searchable collections there-of.
- mzsignal
Signal processing, peak picking, and feature extraction for mass spectrometry data.
- mzdata
Readers and writers for mass spectrometry data files and resources as well as spectrum and chromatogram structures.
- mzdeisotope
Deisotoping and charge state deconvolution for spectra and feature maps.
- thermorawfilereader.rs
FFI interface for reading Thermo RAW files from Rust via a self-hosted .NET runtime
- mzdata-wasm
A demo of how to use WASM to run Rust code for mass spectrometry data processing in the browser. Demo is not mobile friendly
- mass-fragment-index
A generic framework for constructing in-memory or on-disk rapid search indices.
Maintenance
These projects are functionally complete or no longer being actively worked on. Some of them were superceded by other projects to work around language limitations or other technical issues.
- glypy
A library for representing and manipulating glycan structures and compositions. Also provides I/O interfaces with common formats and repositories of glycan structures.
- glycopeptidepy
An extension of
glypy
for modeling glycopeptides - brainpy
A library to quickly generate isotopic patterns from elemental compositions.
- ms_peak_picker
A simple method adapted from Decon2LS for peak picking of mass spectra and cleaned up a little, with added signal processing filters
- ms_deisotope
Mass spectrum deisotoping and charge state deconvolution toolkit.
- psims
A declarative writer for mzML, mzMLb and mzIdentML formats.
- glycresoft
A LC-MS/MS search engine for glycans and glycopeptides.
- glycopeptide_feature_learning
A plugin for
glycresoft
that includes a multinomial glycopeptide fragment intensity model and a "simple" Bayesian fragmentation modeling framework.