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Detalle de: MetPlast: an R package to evaluate Metabolic Plasticity using Information Theory statistical framework

Title MetPlast: an R package to evaluate Metabolic Plasticity using Information Theory statistical framework
Abstract

Summary MetPlast, is an R package that provides the functionalities necessary to analyze biological samples’ metabolic plasticity. This package takes advantage of the statistical framework provided by the Information Theory to quantify and defined metabolic plasticity parameters. Using previous implemented formula based on Shannon entropy we automatize the calculation and visualization of a set of metabolic plasticity indexes including metabolic diversity, metabolome specialization, and metabolite specialization. We use a publicly available metabolic data set on tomato domestication to demonstrate the power of the present tool to evaluate changes in metabolic plasticity parameters. Thus, MetPlast represents a new and invaluable member of the computational metabolomics toolbox, that will certainly help scientists to unveil hidden information in cell metabolomic landscape. Availability and implementation Freely available at https://github.com/danlucio86/MetPlast

Apa Reference D’Andrea, L., Perez de Souza, L., Fernie, A. R., & Bombarely, A. (2023). MetPlast: an R package to evaluate Metabolic Plasticity using Information Theory statistical framework. 10.1101/2023.04.28.472208
Doi 10.1101/2023.04.28.472208
Publication Date 28 Apr 2023
Publication Type Preprint
Researcher Aureliano Bombarely
Ontology Metabolomics
Research Groups Bioinformatics and Evolutionary Genomics
Tools

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