Metabolomics (2017) 13:106 DOI 10.1007/s11306-017-1242-7 REVIEW ARTICLE Navigating freely-available software tools for metabolomics analysis 1 1 1 3 Rachel Spicer · Reza M. Salek · Pablo Moreno · Daniel Cañueto · 1,2 Christoph Steinbeck Received: 11 April 2017 / Accepted: 25 July 2017 © The Author(s) 2017. This article is an open access publication Abstract Results A comprehensive list of the most used tools was Introduction The field of metabolomics has expanded compiled. Each tool is discussed within the context of its greatly over the past two decades, both as an experimen- application domain and in relation to comparable tools of tal science with applications in many areas, as well as in the same domain. An extended list including additional tools regards to data standards and bioinformatics software tools. is available at https://github.com/RASpicer/Metabolomics- The diversity of experimental designs and instrumental Tools which is classified and searchable via a simple con- technologies used for metabolomics has led to the need for trolled vocabulary. distinct data analysis methods and the development of many Conclusion This review presents the most widely used software tools. tools for metabolomics analysis, categorised based on their Objectives To compile a comprehensive list of the most main functionality. As future work, we suggest
Metabolomics – Springer Journals
Published: Aug 9, 2017
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