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Submitted URL: http://www.metabolomicsworkbench.org/
Effective URL: https://www.metabolomicsworkbench.org/
Submission: On November 07 via api from US — Scanned from CA
Effective URL: https://www.metabolomicsworkbench.org/
Submission: On November 07 via api from US — Scanned from CA
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title="Search the RefMet database by metabolite name, neutral mass, formula, InChIKey or PubChem compound ID, the metabolite database by name and the NMDR studies by metabolite name, project title or study title. Perform a regular expression search on names by using a 'grep:' prefix."
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<strong>Enter name</strong>:<input type="text" value="N-Palmitoyl-Sphinganine" size="45" name="metabolite_name"><input type="submit" value="Standardize"> <a href="/databases/refmet/name_to_refmet_form.php">Convert a metabolite list</a>
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Text Content
Log in / Register * Home * Welcome to the UCSD Metabolomics Workbench, a resource sponsored by the Common Fund of the National Institutes of Health. * Data Repository Overview Upload / Manage Studies Browse / Search Studies Analyze Studies Data Sharing Policy Tutorials FAQ * Databases Overview Metabolite Database Human Metabolome Gene/Protein Database (MGP) RefMet: Reference List of Metabolite Names External Metabolomics Databases (Links) * Protocols Overview General Protocols Study-specific Protocols * Tools Overview Load and analyze your own dataset Analyze Studies MS Searches Structure drawing REST Service External Tools (Links) * About Overview Publishing Partners How to Cite How to Link Terms of Use Personnel Contact Sitemap * Search Keyword Search Advanced Searches HOME HOME * NATIONAL METABOLOMICS DATA REPOSITORY Upload and Manage Studies Browse and Search Studies Analyze Studies As of 11/06/24 a total of 3470 studies have been processed by the National Metabolomics Data Repository (NMDR). There are 3094 publicly available studies and the remainder (376) will be made available subject to their embargo dates. RECENTLY RELEASED STUDIES ON NMDR ST002742 - Differentiation of ayahuasca samples according to the origin, religious groups, and botanical varieties using multivariate statistical analysis of UHPLC-MS qualitative data; Psychotria viridis; Banisteriopsis caapi; University of Campinas ST003519 - Effect of insluin on metabolism of ex vivo ischemia heart; Rattus norvegicus; Mayo Clinic ST003529 - Measurement of itaconic acid in liver of male mice treated with TCDD; Mus musculus; Michigan State University New!MetStat: View most frequently encountered metabolites in NMDR (mapped to RefMet) * FOCUS ON RAW DATA INSPECTION AND REUSE RAW DATA FILE INSPECTION AND REUSE (AUG 15, 2024) NMDR contains approximately 500,000 individual raw files, about half of which are in open-source format and amenable to inspection, searching and reanalysis on the Metabolomics Workbench, GNPS and ADAP-KDB. Each NMDR study has links in the "Download data files" section to these resources. One can view TIC, MS1 and MS2 spectra, and search by neutral loss or product ion m/z without the need to download files. See study ST003038 tandem MS data for an example. Higlights/News archive * FOCUS ON STEROL DRAWING TOOLS AND NOMENCLATURE STEROL DRAWING TOOLS (FEB 29, 2024) This web-based sterol drawing tool contains a selection of 45 different cores (including bile acid amidates for proteogenic amino acids) and numerous functional group options. It generates downloadable structures in molfile or image formats, as well as systematic name, formula and exact mass, with an option to calculate m/z values for various ion-adducts. This tool is also available on LIPID MAPS. There is a new table of bile acid nomenclature covering RefMet names, systematic names and abbreviations. Higlights/News archive * REFMET NAME HARMONIZATION COMBINED WITH ION-ADDUCT CALCULATION REFMET ION-ADDUCT CALCULATION (NOV 20, 2023) The RefMet metabolite name harmonization resource leverages data from over 500,000 annotations obtained from MS and NMR studies in NMDR to provide a standardized reference nomenclature across 4 different levels of structural resolution. A new feature is the ability to map a list of metabolite names to RefMet and simultaneously perform an ion-adduct calculation to generate a list of m/z values. Higlights/News archive * CORE STRUCTURES IN REFMET CLASSIFICATION REFMET CORE STRUCTURES (MARCH 1, 2023) Browse and search core structures associated with the RefMet classification system. For example, what are "Flavones", "Flavanols", "Flavonols" and "Flavanones" and what's the difference? The RefMet classification hierarchy has recently been updated to place more emphasis on biosynthetic considerations for Alkaloid, Polyketide and Prenol lipid super classes. Higlights/News archive * MOLECULAR STRUCTURE SIMILARITY ANALYSIS CREATE MOLECULAR STRUCTURE SIMILARITY NETWORKS (FEBRUARY 3, 2023) This Structure similarity network tool creates a network map from a list of metabolite names (up to 500) by selecting a fingerprint type (MACCSkeys, Chem.RDK, Topological, Morgan,MorganBitVector) and similarity method (Tanimoto, Dice) with a similarity coefficient cutoff. This feature is also implemented for each NMDR study containing named metabolites (in 'Perform statisctical analysis' section). This application uses the Python-based Rdkit. Higlights/News archive * SEARCHING UNTARGETED LC-MS DATA SEARCHING UNTARGETED LC-MS DATA ON THE WORKBENCH (DECEMBER 13, 2022) This portal searches over 4.5 million m/z,retention time features from over 890 NMDR studies and over 1500 LC-MS analyses. Search with a m/z value and tolerance window and optionally specify a retention time value and tolerance window to restrict the search. Limit search to studies by sample source and/or species, and also by chromatography type, MS instrument and polarity. Features that have been identified by submitters will appear in the "Name" column in the results table. Higlights/News archive * CORRELATED NETWORK GRAPHS IN NMDR CORRELATED NETWORK GRAPHS USING DEBIASED SPARSE PARTIAL CORRELATION (DSPC) The Metabolomics Workbench has released a new graphical tool for estimating and visualizing partial correlation networks in NMDR studies. It uses the Debiased Sparse Partial Correlation algorithm (DSPC) developed at U.Michigan. Nodes may be mapped to chemical classification or fold-change. Study example: See "Perform Network analysis on correlated metabolites" links here Higlights/News archive * LIPID NOTATION IN REFMET AND LIPID M/Z CALCULATION TOOLS View table of over 170 revised lipid abbreviations covered by RefMet, including structure examples and m/z calculation tools for a variety of adducts. * CONVERT YOUR METABOLITE NAME TO STANDARDIZED NOMENCLATURE VIA REFMET Enter name: Convert a metabolite list * EXEMPLARY STUDIES A list of exemplary studies are listed here which adhere to the submission guidelines of Metabolomics Workbench. Specifically, publically available studies having all or most of the features below were identified as exemplary studies. * Well-written study summary * Detailed metadata for collection/treatment/chromatography/MS/NMR, etc. * Post-processing details * Presence of control samples * Raw data availability for samples and controls * One-to-one mapping of sample names to raw data file name * Internal standards (with measurements) * Clear and organized metabolite annotations These include different analysis (GC-MS, LC-MS, NMR) and species type. We recommend looking at these studies as a model example before submitting to Metabolomics Workbench. * NMDR STUDIES AND JUPYTER NOTEBOOKS Analyze Workbench studies via Python-based Jupyter Notebooks. Launch notebooks on Binder or download notebooks from GitHub and run them locally. Quick Links - Key Resources Upload / Manage Studies Browse / Search Studies Analyze Studies Data Sharing Plan Tutorials FAQ Metabolite Database Human Metabolome Gene/Protein Database (MGP) RefMet: Reference List of Metabolite Names General Protocols Study-specific Protocols Load and analyze your own dataset MS Searches REST Service --> How to Cite Site Map NMDR and NIH Metabolomics Consortium Personnel Gordon Research Conference The Gordon Research Conference on Metabolomics and Human Health takes place in Ventura,CA on February 2 to 7, 2025. Click here for additional information and registration. NIH Common Fund Stage 2 Metabolomics Consortium Centers Metabolomics Consortium Coordinating Center (M3C) Richard Yost, U. of Florida Metabolomics Workbench/NMDR Shankar Subramaniam, UC San Diego (this website) Compound Identification Cores (CIDCs) Arthur Edison, U. of Georgia Alexey Nesvizhskii, U. of Michigan Oliver Fiehn, UC Davis Dean Paul Jones, Emory University Thomas Metz, Pacific Northwest Nat. Lab. Data and Tools Cores (DTCs) John Weinstein, MD Anderson Cancer C. Jamey Young, Vanderbilt University Xiuxia Du, U. of North Carolina Charlotte Shuzhao Li, Emory University Alla Karnovsky, U. of Michigan Katerina Kechris, U. of Colorado, Denver Gary Patti, Washington U. at St. Louis -------------------------------------------------------------------------------- Please cite:Metabolomics WorkbenchYou will get more info on how to cite here * UCSD Metabolomics Workbench, a resource sponsored by the Common Fund of the National Institutes of Health * Terms of use * Site map * Contact * NMDR Personnel