Reference: Iacovacci J, et al. (2021) IonFlow: a galaxy tool for the analysis of ionomics data sets. Metabolomics 17(10):91

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Abstract


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.

Reference Type
Journal Article | Research Support, Non-U.S. Gov't
Authors
Iacovacci J, Lin W, Griffin JL, Glen RC
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