Summary of project PR001744

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001744. The data can be accessed directly via it's Project DOI: 10.21228/M88Q6W This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Project ID: PR001744
Project DOI:doi: 10.21228/M88Q6W
Project Title:MetaboAnalystR 4.0: towards a unified LC-MS workflow for global metabolomics
Project Type:MS/MS qualification and MS quantification study
Project Summary:Here we introduce MetaboAnalystR 4.0, an open-source R package that have been developed to provide a unified workflow to help address three key bioinformatics bottlenecks facing LC-MS-based global metabolomics, including: 1) auto-optimized LC-MS spectral processing for feature detection and quantification; 2) streamlined MS/MS spectral deconvolution and compound annotation coupled with comprehensive spectral reference databases (~1.5 million MS2 spectra); 3) a sensitive functional interpretation module for functional analysis directly from LC-MS and MS/MS results. During our validation case studies in comparison with other well-established approaches, MetaboAnalystR 4.0 has identified > 10% more high-quality MS and MS/MS features; it has also significantly increased true positive rate of identification (> 40%) without increasing false positives using both data-dependent acquisition (DDA) and data-independent acquisition (DIA) datasets; finally, pathway enrichment analysis integrating LC-MS and MS/MS spectra from COVID-19 datasets has produced results that are better aligned with literature report.
Institute:McGill University
Department:Faculty of Agricultural and Environmental Sciences
Laboratory:Xia Lab, Institute of Parasitology
Last Name:Xia
First Name:Jeff
Address:Macdonald Campus, McGill University 21,111 Lakeshore Road
Email:jeff.xia@mcgill.ca
Phone:5146605018
Funding Source:NIH, TIMIC, Genome Canada, Génome Québec
Contributors:Zhiqiang Pang, Lei Xu, Charles Viau

Summary of all studies in project PR001744

Study IDStudy TitleSpeciesInstituteAnalysis
(* : Contains Untargted data)
Release
Date
VersionSamplesDownload
(* : Contains raw data)
ST002796 Comparison of different blood samples (whole blood, serum and plasma) Homo sapiens McGill University MS* 2024-01-01 1 274 Uploaded data (10.8G)*
ST002798 Evaluation of quantitative performance with serial dilutions Homo sapiens McGill University MS* 2024-01-01 1 220 Uploaded data (7.9G)*
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