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New tools and resources in metabolomics: 2016–2017
Author(s) -
Misra Biswapriya B.
Publication year - 2018
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201700441
Subject(s) - metabolomics , computer science , data science , software , informatics , workflow , health informatics tools , big data , data mining , database , engineering , bioinformatics , biology , electrical engineering , programming language
Rapid advances in mass spectrometry (MS) and nuclear magnetic resonance (NMR)‐based platforms for metabolomics have led to an upsurge of data every single year. Newer high‐throughput platforms, hyphenated technologies, miniaturization, and tool kits in data acquisition efforts in metabolomics have led to additional challenges in metabolomics data pre‐processing, analysis, interpretation, and integration. Thanks to the informatics, statistics, and computational community, new resources continue to develop for metabolomics researchers. The purpose of this review is to provide a summary of the metabolomics tools, software, and databases that were developed or improved during 2016–2017, thus, enabling readers, developers, and researchers access to a succinct but thorough list of resources for further improvisation, implementation, and application in due course of time.