NIH Common Fund Metabolomics Consortium Annual Meeting Agenda 2022

Lightning Talks:

PI InstitutionLightning Talk #TitlePresenting AuthorPresenting Author Email
Tuesday, May 31st
Lightning Talks A  – 12:30-12:45    
University of Georgia/Georgia Tech (CIDC)1Strengths and Current Limitations of Ion Mobility for Unknown Metabolite IdentificationCarter
University of Michigan (DTC)2Integrative transcriptome-metabolome analysis of sexual dimorphism in aerobic capacity rat modelGayatri
Pacific Northwest National Lab/University of Alberta (CIDC)3BioTransformer 3.0—A Web Server for Accurately Predicting Metabolic Transformation ProductsSiyang
Lightning Talks B  – 1:45 – 2:00    
UC Davis (CIDC)4Quantum chemistry and electron ionization mass spectra predictionShunyang
UC San Diego (NMDR)5MetEnpMano
Vanderbilt University (DTC)6Elucidating active networks using stable-isotope labeling and untargeted metabolomicsJavier
Lightning Talks C  – 2:30 to 2:45    
University of Colorado (DTC)7DisCo P-ad: Distance Correlation-Based Adjusted P-value Boosts Multiple-Testing Corrections in Metabolomics AnalysesDebmalya
University of Michigan (CIDC)8LC-MS Strategies for Additional Metabolite IdentificationBrady
Jackson Laboratory/Scripps (DTC)95 minutes • 5 years • 5 METLIN downloadsGary
Lightning Talks D  – 3:30 to 3:50    
Pacific Northwest National Lab/University of Alberta (CIDC)10CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound IdentificationFei
Washington University (DTC)11   
UC San Diego (NMDR)12MetGeneSumana
University of Florida (M3C)13Open, Published, RDF Metadata for Datasets, Studies, Publications, and Investigators of the Metabolomics Workbench and Related WorkMike
Wednesday June 1st
Lightning Talks E  – 1:00 to 1:15    
Jackson Laboratory/McGill University (DTC)14Comprehensive investigation of pathway enrichment methods for LC-MS-based untargeted metabolomics dataYao
University of Michigan (CIDC)15Disparate LC-MS Alignment of Common Fund Metabolomics Consortium Inter-laboratory Unknown Lipids DatasetsHani
University of Colorado (DTC)16MSCAT v2.0: Updates and new features on the Metabolomics Software DatabaseWladimir
Lightning Talks F  – 3:30 to 3:45    
Jackson Laboratory (DTC)17Trackable and scalable LC-MS metabolomics data processing using asariAmnah
University of Georgia (CIDC)18Addressing Batch Effects in Large-Scale MetabolomicsAmanda
University of Michigan (DTC)19Bayesian methodology for estimating differential networks with applications to metabolomicsGeorge
Thursday June 2nd
Lightning Talks G  – 11:30 to 11:45 
Washington University (DTC)20   
University of North Carolina Charlotte (DTC)21Approaches to optimize speed and memoryAleksandr
Pacific Northwest National Lab (CIDC)22MS2 Drift Time Offset in IMS-QTOF Data ProcessingJessica
Lightning Talks H  – 12:15 to 12:30    
Vanderbilt University/Danforth Center (DTC)23Insights into plant lipid metabolism using stable isotopes and high-resolution mass spectrometryShrikaar
Jackson Laboratory (DTC)24Simultaneous metabolomics and lipidomics profiling reveals intracellular pathways in trophectoderm differentiation altered by metabolic environmentsMaheshwor
Emory University (CIDC)25Xenobiotic biotransformation networking for identification of undocumented xenobiotic exposuresGrant
Lightning Talks I  – 2:00 to 2:15    
Pacific Northwest National Lab (CIDC)26An Automated Process for Expanding Experimental CCS Reference LibrariesChristine
Jackson Laboratory/McGill University (DTC)27COVID Metabolomics Explorer: collaborative exploration of public COVID-19 metabolomics data within MetaboAnalystZhiqiang
University of North Carolina Charlotte (DTC)28Towards prediction of unknown lipidsCiara
Lightning Talks J  – 3:00 to 3:15    
Jackson Laboratory (DTC)29JSON’s Metabolite Services to bridge genome-scale metabolic models and metabolomicsMinghao
UC Davis (CIDC)30Creation of tandem mass spectra (MS/MS) with density functional theory (DFT)Tobias
MD Anderson (DTC)31MetaBatch Omic Browser: a web resource for visualization and analysis of batch effects in MWBJohn