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Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping

https://doi.org/10.1021/acs.analchem.2c05371

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification

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Chromatographic Alignment of ESI-LC-MS Proteomics Data Sets by Ordered Bijective Interpolated Warping

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Development of a Quantitative Metabolomic Approach to Study Clinical Human Fecal Water Metabolome Based on Trimethylsilylation Derivatization and GC/MS Analysis

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CAMERA: An Integrated Strategy for Compound Spectra Extraction and Annotation of Liquid Chromatography/Mass Spectrometry Data Sets

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Assessment of XCMS Optimization Methods with Machine-Learning Performance

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Deep Learning-Assisted Peak Curation for Large-Scale LC-MS Metabolomics

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AutoTuner: High Fidelity and Robust Parameter Selection for Metabolomics Data Processing

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Cohort Profile Update: Lifelines, a three-generation cohort study and biobank

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HMDB 4.0: the human metabolome database for 2018

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Population-level analysis of gut microbiome variation

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MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

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Highly sensitive feature detection for high resolution LC/MS

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IPO: a tool for automated optimization of XCMS parameters

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Towards Standards for Human Fecal Sample Preparation in Targeted and Untargeted LC-HRMS Studies

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Review on analytical technologies and applications in metabolomics

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