October 2012
Beginner to intermediate
582 pages
15h
English
Content preview from Open Source Software in Life Science Research
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4
Open source software for mass spectrometry and metabolomics
Mark Earll
Abstract:
This chapter introduces open source tools for mass spectrometry (MS)-based metabolomics. The tools used include the R language for statistical computing, mzMine and KNIME. A typical MS-metabolomics data set is used for illustration and the tasks of visualisation, peak detection, peak identification, peak collation and basic multivariate data analysis are covered. A discussion of vendor formats and the role of open source software in metabolomics is also included. Example R scripts and KNIME R-nodes are shown, which should enable the reader to apply the principles to their own data.
Key words
data visualisation
KNIME
mass spectrometry
metabolomics
mzMine
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