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Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry, p. 101-124

DOI: 10.1007/978-3-319-45809-0_6

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Mass Spectrometry Analysis Using MALDIquant

Book chapter published in 2016 by Sebastian Gibb ORCID, Korbinian Strimmer
This paper is available in a repository.
This paper is available in a repository.

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Abstract

MALDIquant and associated R packages provide a versatile and completely free open-source platform for analyzing 2D mass spectrometry data as generated, for instance, by MALDI and SELDI instruments. We first describe the various methods and algorithms available in MALDIquant. Subsequently, we illustrate a typical analysis workflow using MALDIquant by investigating an experimental cancer data set, starting from raw mass spectrometry measurements and ending at multivariate classification.