ArticleNature communications2023
Trackable and scalable LC-MS metabolomics data processing using asari.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed.
- Untargeted Metabolite Screening of Ewing Sarcoma Cells and Tissues with Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).Methods in molecular biology (Clifton, N.J.) · 2027Article
- eCOMET: an R package for evaluating metabolic diversity and enrichment from LC-MS/MS data to test ecological hypotheses from individuals to ecosystems.The New phytologist · 2026Article
- Computational metabolomics at scale: from open data to insight.Current opinion in biotechnology · 2026Review
- Using MetaboAnalyst 6.0 for exposomics data analysis-from LC-MS2 spectra processing to dose-response modeling and causal inference.Nature protocols · 2026Review
- DeepHalo: Deep learning-powered exploration of halogenated metabolites uncovering antibacterial depsipeptides.Acta pharmaceutica Sinica. B · 2026Article
- A multiplatform chromatography-mass spectrometry dataset for targeted and suspect screening of pollutants.Scientific data · 2026Article
- Assessing the metabolomics "dark matter" by a detectable khipu model.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Article
- Review
- Challenges and Good Practices in Preprocessing and Normalization of Untargeted DNA Adductomics Data in Exposomics Research.Analytical chemistry · 2026Article
- LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening.Analytical chemistry · 2026Article
- Distinct biochemical phenotypes of HIV exposed infants driven by antiviral medication.medRxiv : the preprint server for health sciences · 2026Article
- Metabolomics Spectral Processing, Data Analysis, and Multiomics Integration Using MetaboAnalyst 6.0.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Molecular and cellular adaptations to extended hypothermic oxygenated perfusion in donation-after-circulatory-death hearts in a porcine model.Frontiers in cardiovascular medicine · 2026Article
- Practicing Data Science in Interactive Notebooks.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Metabolomics Data Processing Using the Asari Toolkit.Methods in molecular biology (Clifton, N.J.) · 2026Article
- mzLearn as a data-driven LC/MS signal detection algorithm that enables pre-trained generative models for untargeted metabolomics.Communications chemistry · 2025Article
- Metabolomic and lipidomic atlas of human hair across its length.Communications biology · 2025Article
- TraceMetrix: a traceable metabolomics interactive analysis platform.Journal of cheminformatics · 2025Article
- The Future of a Myriad of Accelerated Biodiscoveries Lies in AI-Powered Mass Spectrometry and Multiomics Integration.Journal of mass spectrometry : JMS · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Significant challenges remain in the computational processing of data from liquid chomratography-mass spectrometry (LC-MS)-based metabolomic experiments into metabolite features. In this study, we examine the issues of provenance and reproducibility using the current software tools. Inconsistency among the tools examined is attributed to the deficiencies of mass alignment and controls of feature quality. To address these issues, we develop the open-source software tool asari for LC-MS metabolomics data processing. Asari is designed with a set of specific algorithmic framework and data structures, and all steps are explicitly trackable. Asari compares favorably to other tools in feature detection and quantification. It offers substantial improvement in computational performance over current tools, and it is highly scalable.
Indexed as
Identifiers
What OpenQuestion holds
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.