ReviewEssays in biochemistry2024
Computational methods for processing and interpreting mass spectrometry-based metabolomics.
Review in Essays in biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Comprehensive glycoside identification and anti-inflammatory activity screening in Fructus Gardeniae and Fructus Gardeniae Grandiflorae.Food chemistry: X · 2026Article
- When Metabolomics Meets Quantitative Genetics: An Integrative Strategy to Elucidate Plant Resistance Mechanisms.Plant, cell & environment · 2026Review
- LC-Triple Quadrupole MS Enables Sample Classification inJournal of analytical methods in chemistry · 2026Article
- Mass Spectrometry-Based Oral Meta-Omics Analysis-What We Know and What We Don't.Advances in experimental medicine and biology · 2026Review
- Responses and adaptations of plants to abiotic stress: transcriptional regulation of secondary metabolic pathways, metabolomics, and nanobiological approaches.Frontiers in genetics · 2026Review
- What metabolomics has taught us about tomato fruit ripening and quality.Journal of experimental botany · 2025Review
- Last Decade Insights in Exploiting Marine Microorganisms as Sources of New Bioactive Natural Products.Marine drugs · 2025Review
- BiomiX, a user-friendly bioinformatic tool for democratized analysis and integration of multiomics data.BMC bioinformatics · 2025Article
- Metabolomic analysis ofFrontiers in microbiology · 2025Article
- A comprehensive review on computational metabolomics: Advancing multiscale analysis throughComputational and structural biotechnology journal · 2025Review
- Evolution of plant metabolism: the state-of-the-art.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Cell-Death Metabolites fromMarine drugs · 2024Article
- LC-MS/DIA-based strategy for comprehensive flavonoid profiling: anRSC advances · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolomics has emerged as an indispensable tool for exploring complex biological questions, providing the ability to investigate a substantial portion of the metabolome. However, the vast complexity and structural diversity intrinsic to metabolites imposes a great challenge for data analysis and interpretation. Liquid chromatography mass spectrometry (LC-MS) stands out as a versatile technique offering extensive metabolite coverage. In this mini-review, we address some of the hurdles posed by the complex nature of LC-MS data, providing a brief overview of computational tools designed to help tackling these challenges. Our focus centers on two major steps that are essential to most metabolomics investigations: the translation of raw data into quantifiable features, and the extraction of structural insights from mass spectra to facilitate metabolite identification. By exploring current computational solutions, we aim at providing a critical overview of the capabilities and constraints of mass spectrometry-based metabolomics, while introduce some of the most recent trends in data processing and analysis within the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.