Python package to perform compound identification in mass spectrometry via spectral library matching.
Project description
PyCompound
A Python-based tool for spectral library matching, PyCompound is available as a Python package with a command-line interface (CLI) available and as a GUI application build with Python/Shiny. It performs spectral library matching to identify chemical compounds, offering a range of spectrum preprocessing transformations and similarity measures, including Cosine, three entropy-based similarity measures, and a plethora of binary similarity measures. PyCompound also includes functionality to tune parameters commonly used in a compound identification workflow given a query library of spectra with known ID. PyCompound supports both high-resolution mass spectrometry (HRMS) data (e.g., LC-MS/MS) and nominal-resolution mass spectrometry (NRMS) data (e.g., GC-MS). For the full documentation, see the GitHub repository https://github.com/hdlugas/pycompound.
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