Mass Spectrometry Analysis Using MALDIquant

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint , Other literature type 16 Dec 2016Embargo end date: 01 Jan 2016 United Kingdom English Publisher:Springer International Publishing

Authors: Gibb, Sebastian; Strimmer, Korbinian;

doi: 10.1007/978-3-319-45809-0_6 , 10.48550/arxiv.1607.03180

arXiv: 1607.03180

Mass Spectrometry Analysis Using MALDIquant

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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.

26 pages, 12 figures. This is the draft version of a chapter to be published in S. Datta and B. Mertens (eds). 2016. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Frontiers in Probability and the Statistical Sciences. Springer, New York

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Keywords

FOS: Computer and information sciences, FOS: Biological sciences, Applications (stat.AP), Quantitative Biology - Quantitative Methods, Statistics - Applications, Quantitative Methods (q-bio.QM)

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