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Published on: January 20, 2022
IonFlow: a galaxy tool for the analysis of ionomics data sets
J Iacovacci1,2, W Lin3, J L Griffin3,4
1Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK. j.iacovacci@imperial.ac.uk.
Introduction:
Inductively coupled plasma mass spectrometry (ICP-MS) experiments generate complex multi-dimensional data sets that require specialist data analysis tools.
Objective:
Here we describe tools to facilitate analysis of the ionome composed of high-throughput elemental profiling data.
Methods:
IonFlow is a Galaxy tool written in R for ionomics data analysis and is freely accessible at https://github.com/wanchanglin/ionflow . It is designed as a pipeline that can process raw data to enable exploration and interpretation using multivariate statistical techniques and network-based algorithms, including principal components analysis, hierarchical clustering, relevance network extraction and analysis, and gene set enrichment analysis.
Results And Conclusion:
The pipeline is described and tested on two benchmark data sets of the haploid S. Cerevisiae ionome and of the human HeLa cell ionome.
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