Bioinformatics and Data Analysis
A section of Metabolites (ISSN 2218-1989).
Section Information
Metabolomics experiments are generating increasingly large and complex datasets, posing significant bioinformatic, statistical, and computational problems. This section of the journal Metabolites aims to rapidly publish original contributions and reviews on all aspects of bioinformatics and data analysis for metabolomics data. We encourage the submission of manuscripts that report significant advances in those fields. Topics include but are not limited to the following:
- Metabolomics data analysis;
- Metabolite identification;
- Computational metabolomics;
- Statistical methods for analyzing metabolomics data;
- Machine learning approaches for computational metabolomics;
- Metabolite structure identification;
- Data visualization;
- Pathway-based data analysis;
- Metabolomics and metabolic modeling;
- Metabolomics-related databases and resources.
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Traditional and Machine-Learning-Based Approaches for Annotation of Natural Products (Deadline: 31 May 2024)
- Open-Source Software in Metabolomics (Deadline: 25 June 2024)
- Machine Learning Applications in Metabolomics Analysis (Deadline: 30 June 2024)
- LC-MS Method Development and Metabolomics Data Analysis (Deadline: 30 July 2024)
- Editorial Board Members’ Collection Series: Metabolic Pathway Mapping and Enrichment (Deadline: 31 August 2024)
- Towards Clinical Interpretation of Metabolomic Data (Deadline: 31 August 2024)
- Machine Learning in Metabolic Diseases (Deadline: 15 November 2024)
Topical Collection
Following topical collection within this section is currently open for submissions:
