Survey for Computer-Aided Tools and Databases in Metabolomics

Overview

Journal Metabolites

Publisher MDPI

Date 2022 Oct 27

PMID 36295904

Authors

Bayan Hassan Banimfreg

Abdulrahim Shamayleh

Hussam Alshraideh

Affiliations

Soon will be listed here.

Abstract

Metabolomics has advanced from innovation and functional genomics tools and is currently a basis in the big data-led precision medicine era. Metabolomics is promising in the pharmaceutical field and clinical research. However, due to the complexity and high throughput data generated from such experiments, data mining and analysis are significant challenges for researchers in the field. Therefore, several efforts were made to develop a complete workflow that helps researchers analyze data. This paper introduces a review of the state-of-the-art computer-aided tools and databases in metabolomics established in recent years. The paper provides computational tools and resources based on functionality and accessibility and provides hyperlinks to web pages to download or use. This review aims to present the latest computer-aided tools, databases, and resources to the metabolomics community in one place.

Citing Articles

MetChem: a new pipeline to explore structural similarity across metabolite modules.

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PMID: 37424942 PMC: 10322652. DOI: 10.1093/bioadv/vbad053.

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