IonFlow: a galaxy tool for the analysis of ionomics data sets
Griffin, J. L.
Glen, R. C.
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Iacovacci, J., Lin, W., Griffin, J. L., & Glen, R. C. (2021). IonFlow: a galaxy tool for the analysis of ionomics data sets. Metabolomics, 17 (10) https://doi.org/10.1007/s11306-021-01841-z
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.
Original Article, Ionomics, Network biology, Galaxy platform
Wellcome Trust (202952/D/16/Z)
External DOI: https://doi.org/10.1007/s11306-021-01841-z
This record's URL: https://www.repository.cam.ac.uk/handle/1810/328528