Citing

If you would like to use mzapy in published work, please include the following:

  • mzapy, version 1.7.2 (https://github.com/PNNL-m-q/mzapy, accessed MM/YYYY)

  • Ross, D. H., Bilbao, A., Lee, J-Y., Zheng, X. mzapy: An Open-source Python Library Enabling Efficient Extraction and Processing of Mass Spectrometry Data in the MZA File Format. Journal 2022. (submitted)

  • Bilbao, et al. MZA: A Data Conversion Tool to Facilitate Software Development and Artificial Intelligence Research in Multidimensional Mass Spectrometry. J. Proteome Res. 2022 (https://pubs.acs.org/doi/10.1021/acs.jproteome.2c00313)