Document details for 'MALDIrppa: quality control and robust analysis for mass spectrometry data'

Authors Palarea Albaladejo, J., McLean, K., Wright, F. and Smith, D.G.E.
Publication details Bioinformatics 34(3), 522-523. Oxford University Press, Oxford, UK.
Publisher details Oxford University Press, Oxford, UK
Abstract This R package helps to implement a robust approach to deal with mass spectrometry (MS) data. It is aimed at alleviating reproducibility issues and pernicious effects of deviating signals on both data pre-processing and downstream data analysis. Based on robust statistical methods, it facilitates the identification and filtering of low-quality mass spectra and atypical peak profiles, as well as monitoring and data handling through pre-processing, which extends existing computational tools for high-throughput data.
Last updated 2018-05-07

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