matchms - processing and similarity evaluation of mass spectrometry data.

Python Submitted 26 June 2020Published 31 August 2020
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Editor: @arfon (all papers)
Reviewers: @bittremieux (all reviews), @kaibioinfo (all reviews)

Authors

Florian Huber (0000-0002-3535-9406), Stefan Verhoeven (0000-0002-5821-2060), Christiaan Meijer (0000-0002-5529-5761), Hanno Spreeuw (0000-0002-5057-0322), Efraín Manuel Villanueva Castilla (0000-0001-7665-3575), Cunliang Geng (0000-0002-1409-8358), Justin J. j. van der Hooft (0000-0002-9340-5511), Simon Rogers (0000-0003-3578-4477), Adam Belloum (0000-0001-6306-6937), Faruk Diblen (0000-0002-0989-929X), Jurriaan H. Spaaks (0000-0002-7064-4069)

Citation

Huber et al., (2020). matchms - processing and similarity evaluation of mass spectrometry data.. Journal of Open Source Software, 5(52), 2411, https://doi.org/10.21105/joss.02411

@article{Huber2020, doi = {10.21105/joss.02411}, url = {https://doi.org/10.21105/joss.02411}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {52}, pages = {2411}, author = {Florian Huber and Stefan Verhoeven and Christiaan Meijer and Hanno Spreeuw and Efraín Manuel Villanueva Castilla and Cunliang Geng and Justin J. j. van der Hooft and Simon Rogers and Adam Belloum and Faruk Diblen and Jurriaan H. Spaaks}, title = {matchms - processing and similarity evaluation of mass spectrometry data.}, journal = {Journal of Open Source Software} }
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mass spectrometry metadata cleaning data processing similarity measures metabolomics

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ISSN 2475-9066