Updates in metabolomics tools and resources: 2014-2015

Misra, B. B. and van der Hooft, J. (2016) Updates in metabolomics tools and resources: 2014-2015. Electrophoresis, 37(1), pp. 86-110. (doi: 10.1002/elps.201500417) (PMID:26464019)

Abstract

Data processing and interpretation represent the most challenging and time-consuming steps in high-throughput metabolomic experiments, regardless of the analytical platforms (MS or NMR spectroscopy based) used for data acquisition. Improved machinery in metabolomics generates increasingly complex datasets that create the need for more and better processing and analysis software and in silico approaches to understand the resulting data. However, a comprehensive source of information describing the utility of the most recently developed and released metabolomics resources—in the form of tools, software, and databases—is currently lacking. Thus, here we provide an overview of freely-available, and open-source, tools, algorithms, and frameworks to make both upcoming and established metabolomics researchers aware of the recent developments in an attempt to advance and facilitate data processing workflows in their metabolomics research. The major topics include tools and researches for data processing, data annotation, and data visualization in MS and NMR-based metabolomics. Most in this review described tools are dedicated to untargeted metabolomics workflows; however, some more specialist tools are described as well. All tools and resources described including their analytical and computational platform dependencies are summarized in an overview Table.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Van Der Hooft, Mr Justin
• Authors: Misra, B. B., and van der Hooft, J.
• College/School: College of Medical Veterinary and Life Sciences > School of Infection & Immunity
• Journal Name: Electrophoresis
• Publisher: Wiley-VCH Verlag
• ISSN: 0173-0835
• ISSN (Online): 1522-2683
• Published Online: 14 October 2015
• Copyright Holders: Copyright © 2016 Wiley-VCH Verlag
• First Published: First published in Electrophoresis 37(1):86-110
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher