Big Data in Metabolomics
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: closed (30 September 2017)
Special Issue Editors
Interests: bioinformatics; computational biology; systems medicine; network medicine; metabolomics; multi-omics integration
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; classification; clustering; systems biology; biological network analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolomics is an important branch of the so-called "OMICS" field, investigating small molecules and compounds, the metabolites from a system biological perspective. It serves multiple purposes, from early disease detection, patient separation, treatment optimization to a generally better understanding of the metabolic systems in a cell, tissue or organism. Due to the proven usefulness and success combined with more and more advanced wet-lab techniques, metabolomics is producing an increasing amount of high-quality data in an ever increasing pace. This fact can be summarized under the umbrella of "Big Data" in terms of velocity (the pace data is generated), volume (the sheer amount of data) and variety (the multitude of different data sources). In addition to the huge opportunities arising from having these rich data sources at hand they pose hard challenges at the same time. This requires sophisticated computational methods for data management, analysis and the meaningful integration of a multitude of different and heterogeneous data sources. The recent advances have led to the intention to initiate this special issue of Metabolites with an emphasis of the challenges and solutions arising in the age of Big Data in metabolomics research.
Dr. Jan Baumbach
Dr. Richard Röttger
Guest Editors
Relevant special issues can be found here: https://www.mdpi.com/journal/metabolites/special_issues/data_processing.
Manuscript Submission Information
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