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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
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New tools and resources in metabolomics: 2016-2017.
1Department of Internal Medicine, Section of Molecular Medicine, Medical Center Boulevard, Winston-Salem, NC, USA.
Electrophoresis
|January 3, 2018
Summary
Metabolomics research generates vast data, posing analysis challenges. This review summarizes new computational tools and databases from 2016-2017 to aid researchers in metabolomics data interpretation.
Area of Science:
- Metabolomics
- Bioinformatics
- Computational Biology
Background:
- Metabolomics research is rapidly advancing, driven by mass spectrometry (MS) and nuclear magnetic resonance (NMR) platforms.
- High-throughput technologies, hyphenated techniques, and miniaturization in metabolomics generate increasingly large datasets annually.
- These data volumes present significant challenges in pre-processing, analysis, interpretation, and integration for researchers.
Purpose of the Study:
- To provide a comprehensive summary of new and improved metabolomics tools, software, and databases.
- To highlight resources developed or enhanced between 2016 and 2017.
- To facilitate access for researchers, developers, and readers to essential computational resources in metabolomics.
Main Methods:
- Literature review and curation of metabolomics-related software and databases.
- Focus on resources developed or updated within the 2016-2017 timeframe.
- Categorization of tools based on their application in the metabolomics workflow.
Main Results:
- Identification of numerous new computational tools and databases for metabolomics.
- Documentation of significant improvements in existing software and platforms.
- A curated list of resources is presented to address data analysis challenges.
Conclusions:
- The continuous development of informatics resources is crucial for advancing metabolomics research.
- The summarized tools and databases offer valuable support for metabolomics data interpretation and application.
- Researchers are encouraged to utilize these updated resources for enhanced experimental outcomes.
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