TY - JOUR
T1 - Review of emerging metabolomic tools and resources
T2 - 2015–2016
AU - Misra, Biswapriya B.
AU - Fahrmann, Johannes F.
AU - Grapov, Dmitry
N1 - Publisher Copyright:
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2017/9
Y1 - 2017/9
N2 - Data processing and analysis are major bottlenecks in high-throughput metabolomic experiments. Recent advancements in data acquisition platforms are driving trends toward increasing data size (e.g., petabyte scale) and complexity (multiple omic platforms). Improvements in data analysis software and in silico methods are similarly required to effectively utilize these advancements and link the acquired data with biological interpretations. Herein, we provide an overview of recently developed and freely available metabolomic tools, algorithms, databases, and data analysis frameworks. This overview of popular tools for MS and NMR-based metabolomics is organized into the following sections: data processing, annotation, analysis, and visualization. The following overview of newly developed tools helps to better inform researchers to support the emergence of metabolomics as an integral tool for the study of biochemistry, systems biology, environmental analysis, health, and personalized medicine.
AB - Data processing and analysis are major bottlenecks in high-throughput metabolomic experiments. Recent advancements in data acquisition platforms are driving trends toward increasing data size (e.g., petabyte scale) and complexity (multiple omic platforms). Improvements in data analysis software and in silico methods are similarly required to effectively utilize these advancements and link the acquired data with biological interpretations. Herein, we provide an overview of recently developed and freely available metabolomic tools, algorithms, databases, and data analysis frameworks. This overview of popular tools for MS and NMR-based metabolomics is organized into the following sections: data processing, annotation, analysis, and visualization. The following overview of newly developed tools helps to better inform researchers to support the emergence of metabolomics as an integral tool for the study of biochemistry, systems biology, environmental analysis, health, and personalized medicine.
KW - Data
KW - High throughput
KW - Mass spectrometry
KW - Metabolomics
KW - Software
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U2 - 10.1002/elps.201700110
DO - 10.1002/elps.201700110
M3 - Review article
C2 - 28621886
AN - SCOPUS:85026497303
SN - 0173-0835
VL - 38
SP - 2257
EP - 2274
JO - ELECTROPHORESIS
JF - ELECTROPHORESIS
IS - 18
ER -