ipaPy2 v1.3.0
New implementation of the Integrated Probabilistic Annotation (IPA) - A Bayesian annotation method for LC-MS/MS data integrating biochemical relations, isotope patterns and adduct formation.
This completely refactored version of method has been fully implemented in Python. Compared to its predecessor, ipaPy2
- is able to integrate tandem MS fragmentation data
- provides auser-friendly interface
- isotope peaks are treated as fingerprints,
- is fully integrated with the mzMatch pipeline and with the newly developed PeakMLViewerPy tool available at https://github.com/UoMMIB/PeakMLViewerPy