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Survey for Computer-Aided Tools and Databases in Metabolomics
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 experi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610953/ https://www.ncbi.nlm.nih.gov/pubmed/36295904 http://dx.doi.org/10.3390/metabo12101002 |
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author | Banimfreg, Bayan Hassan Shamayleh, Abdulrahim Alshraideh, Hussam |
author_facet | Banimfreg, Bayan Hassan Shamayleh, Abdulrahim Alshraideh, Hussam |
author_sort | Banimfreg, Bayan Hassan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9610953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96109532022-10-28 Survey for Computer-Aided Tools and Databases in Metabolomics Banimfreg, Bayan Hassan Shamayleh, Abdulrahim Alshraideh, Hussam Metabolites Review 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. MDPI 2022-10-21 /pmc/articles/PMC9610953/ /pubmed/36295904 http://dx.doi.org/10.3390/metabo12101002 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Banimfreg, Bayan Hassan Shamayleh, Abdulrahim Alshraideh, Hussam Survey for Computer-Aided Tools and Databases in Metabolomics |
title | Survey for Computer-Aided Tools and Databases in Metabolomics |
title_full | Survey for Computer-Aided Tools and Databases in Metabolomics |
title_fullStr | Survey for Computer-Aided Tools and Databases in Metabolomics |
title_full_unstemmed | Survey for Computer-Aided Tools and Databases in Metabolomics |
title_short | Survey for Computer-Aided Tools and Databases in Metabolomics |
title_sort | survey for computer-aided tools and databases in metabolomics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610953/ https://www.ncbi.nlm.nih.gov/pubmed/36295904 http://dx.doi.org/10.3390/metabo12101002 |
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