SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python

R Submitted 07 April 2025Published 19 May 2025
Review

Editor: @danielskatz (all papers)
Reviewers: @Adafede (all reviews), @AnthonyOfSeattle (all reviews)

Authors

Marilyn De Graeve (0000-0001-6916-401X), Wout Bittremieux (0000-0002-3105-1359), Thomas Naake (0000-0001-7917-5580), Carolin Huber (0000-0002-9355-8948), Matthias Anagho-Mattanovich (0000-0001-7561-7898), Nils Hoffmann (0000-0002-6540-6875), Pierre Marchal (0009-0006-6567-6257), Victor Chrone (0009-0007-2121-4066), Philippine Louail (0009-0007-5429-6846), Helge Hecht (0000-0001-6744-996X), Michael Witting (0000-0002-1462-4426), Johannes Rainer (0000-0002-6977-7147)

Citation

De Graeve et al., (2025). SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python. Journal of Open Source Software, 10(109), 8070, https://doi.org/10.21105/joss.08070

@article{De Graeve2025, doi = {10.21105/joss.08070}, url = {https://doi.org/10.21105/joss.08070}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {109}, pages = {8070}, author = {Marilyn De Graeve and Wout Bittremieux and Thomas Naake and Carolin Huber and Matthias Anagho-Mattanovich and Nils Hoffmann and Pierre Marchal and Victor Chrone and Philippine Louail and Helge Hecht and Michael Witting and Johannes Rainer}, title = {SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python}, journal = {Journal of Open Source Software} }
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Mass Spectrometry Cross-Language Integration Python Computational Efficiency Reproducible Workflows Proteomics Metabolomics

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ISSN 2475-9066