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IonFlow: a galaxy tool for the analysis of ionomics data sets.

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.

SUBMITTER: Iacovacci J

PROVIDER: S-EPMC8464566 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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IonFlow: a galaxy tool for the analysis of ionomics data sets.

Iacovacci J J Lin W W Griffin J L JL Glen R C RC

Metabolomics : Official journal of the Metabolomic Society 20210925 10

<h4>Introduction</h4>Inductively coupled plasma mass spectrometry (ICP-MS) experiments generate complex multi-dimensional data sets that require specialist data analysis tools.<h4>Objective</h4>Here we describe tools to facilitate analysis of the ionome composed of high-throughput elemental profiling data.<h4>Methods</h4>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 proce ...[more]

PMID: 34562172

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