Software tools, databases and resources in metabolomics: updates from 2018 to 2019.

Area of Science:

• Metabolomics
• Bioinformatics
• Computational Biology

Background:

• Metabolomics has transitioned into a key component of big data-driven precision medicine.
• Rapid advancements in analytical technologies necessitate updated data analysis tools.
• Keeping pace with the growing number of metabolomics resources is a challenge for researchers.

Purpose of the Study:

• To provide an updated overview of metabolomics software resources.
• To catalog approximately 100 new or improved tools, databases, and utilities from 2019.
• To facilitate access to essential computational resources for the metabolomics community.

Main Methods:

• Systematic review and compilation of metabolomics software.
• Categorization of resources by utility and ease of use.
• Inclusion of computational dependencies and download/usage hyperlinks.

Main Results:

• Identification and presentation of around 100 metabolomics software resources.
• Detailed information on computational dependencies for each tool.
• Classification of tools to aid researchers in selection.

Conclusions:

• The 2019 landscape of metabolomics software is diverse and rapidly evolving.
• This review serves as a centralized, up-to-date reference for researchers.
• Facilitating access to these tools is crucial for advancing metabolomics research in precision medicine.