NIH Common Fund Metabolomics Consortium Annual Meeting Agenda 2022

Agenda and Recordings:

PI InstitutionLightning Talk #TitlePresenting AuthorPresenting Author EmailRecording
Tuesday, May 31st
Welcome and Program OverviewJames Anderson and Art Castleandersonjm@od.nih.gov, arthur.castle@nih.govhttps://youtu.be/toHzdKwBpis
University of FloridaCoordinating, Engaging and Promoting the ConsortiumRick Yost and Mike Conlonryost@ufl.edu, mconlon@ufl.eduhttps://youtu.be/mxRHHFIGGh4
Jackson LaboratoryMummichog 3, aligning mass spectrometry data to biological networksShuzhao LiShuzhao.Li@jax.orghttps://youtu.be/H4l1pwAIt-Q
Lightning Talks A  – 12:30-12:45    
University of Georgia/Georgia Tech (CIDC)1Strengths and Current Limitations of Ion Mobility for Unknown Metabolite IdentificationCarter Asefcasef3@gatech.eduhttps://youtu.be/WKz23gANfHk
University of Michigan (DTC)2Integrative transcriptome-metabolome analysis of sexual dimorphism in aerobic capacity rat modelGayatri Iyergriyer@umich.eduhttps://youtu.be/G2ORK1vEglk
Pacific Northwest National Lab/University of Alberta (CIDC)3BioTransformer 3.0—A Web Server for Accurately Predicting Metabolic Transformation ProductsSiyang Tianstian2@ualberta.cahttps://youtu.be/2dugPG1yi3Y
University of California, DavisIntegrating MassBank.us, MS, MS/MS and retention time modeling in confident annotation of metabolites in the LC-BinBase databaseOliver Fiehnofiehn@ucdavis.eduhttps://youtu.be/dz7wCeW4U7k
Lightning Talks B  – 1:45 – 2:00    
UC Davis (CIDC)4Quantum chemistry and electron ionization mass spectra predictionShunyang Wangsywang@ucdavis.eduhttps://youtu.be/TFamAdhCY7w
UC San Diego (NMDR)5MetEnpMano Mauryamano@sdsc.eduhttps://youtu.be/lkKNstiesE4
Vanderbilt University (DTC)6Elucidating active networks using stable-isotope labeling and untargeted metabolomicsJavier Gomezjavier.d.gomez@vanderbilt.eduhttps://youtu.be/WR3rQ60bQHM
Working Group ReportsQM Modeling and Terminology in MetabolomicsArt Edison and Gary Pattiaedison@uga.edu, gjpattij@wustl.eduhttps://youtu.be/5T7bOHalApw
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 Nandydebmalya.nandy@cuanschutz.eduhttps://youtu.be/u2nRPzZP59E
University of Michigan (CIDC)8LC-MS Strategies for Additional Metabolite IdentificationBrady Andersonanderbra@umich.eduhttps://youtu.be/BvarseXc63I
Jackson Laboratory/Scripps (DTC)95 minutes • 5 years • 5 METLIN downloadsGary Siuzdaksiuzdak@scripps.eduhttps://youtu.be/lAzvNBKFmDE
University of North Carolina, CharlotteADAP-BIG: A cross-platform and graphical software tool for preprocessing metabolomics big dataXiuxia Duxiuxia.du@uncc.eduhttps://youtu.be/Qqt06aaoOnw
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 Wangfw4@ualberta.cahttps://youtu.be/iMXb8OovF8I
Washington University (DTC)11   https://youtu.be/NglLtkwKXK0
UC San Diego (NMDR)12MetGeneSumana Srinivasansusrinivasan@eng.ucsd.eduhttps://youtu.be/0gWji05a7RI
University of Florida (M3C)13Open, Published, RDF Metadata for Datasets, Studies, Publications, and Investigators of the Metabolomics Workbench and Related WorkMike Conlonmconlon@ufl.eduhttps://youtu.be/0B96nDuuTbc
Working Group ReportsUnknown Lipids and Unknown PolarsCharles Evanschevans@umich.eduhttps://youtu.be/Ql7m2Z_O_kc
Wednesday June 1st
Washington UniversityDatabase-Assisted MS/MS Deconvolution for Metabolite IdentificationGary Pattigjpattij@wustl.eduhttps://youtu.be/Cf_bdTNvQfE
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 Luyao.lu5@mail.mcgill.cahttps://youtu.be/j2NX2EJST3w
University of Michigan (CIDC)15Disparate LC-MS Alignment of Common Fund Metabolomics Consortium Inter-laboratory Unknown Lipids DatasetsHani Habrahhani@umich.eduhttps://youtu.be/fz6HRLSzz4c
University of Colorado (DTC)16MSCAT v2.0: Updates and new features on the Metabolomics Software DatabaseWladimir LabeikovskyWladimir.Labeikovsky@cuanschutz.eduhttps://youtu.be/hpwEtFa5ql0
Emory UniversityDevelopment of biological criteria to enhance mass spectrometry-based metabolite identificationDean Jonesdpjones@emory.eduhttps://youtu.be/nxjZT6E7sDg
Collaborative Projects ReportsThe National Metabolomics Data Repository and integrated resources on the Metabolomics Workbench and Common Datasets for BenchmarkingShankar Subramaniam and Corey Broecklingshankar@sdsc.edu, Corey.Broeckling@colostate.eduhttps://youtu.be/z4ZaA2Ckptc
MD AndersonMetaBatch Omic Browser update: a web resource for dynamic visualization, analysis, and correction of batch effects in MWB dataJohn Weinsteinjweinste@mdanderson.orghttps://youtu.be/mmFhe1wUV-8
Lightning Talks F  – 3:30 to 3:45    
Jackson Laboratory (DTC)17Trackable and scalable LC-MS metabolomics data processing using asariAmnah SiddiqaAmnah.Siddiqa@jax.orghttps://youtu.be/50eRFsHiGBg
University of Georgia (CIDC)18Addressing Batch Effects in Large-Scale MetabolomicsAmanda Shaveramanda.shaver@uga.eduhttps://youtu.be/P4j-1m-i0wo
University of Michigan (DTC)19Bayesian methodology for estimating differential networks with applications to metabolomicsGeorge Michailidisgmichail@ufl.eduhttps://youtu.be/x89OLdBOJCI
Collaborative Project ReportADAP-KDB: Tracking known and unknown mass spectral features in NMDRXiuxia Duxiuxia.du@uncc.eduhttps://youtu.be/3PvPhiTe2cc
Pacific Northwest National LabExploiting the ‘curse of dimensionality’ for metabolite identificationTom Metzthomas.metz@pnnl.govhttps://youtu.be/NNkl-kiJJ_E
Thursday June 2nd
University of California, San DiegoMetabolomics Tools and Resources for the Research CommunityShankar Subramaniamshankar@sdsc.eduhttps://youtu.be/rMxnHIcQQw8
Lightning Talks G  – 11:30 to 11:45 
Washington University (DTC)20   https://youtu.be/dq7-ZrRYT70
University of North Carolina Charlotte (DTC)21Approaches to optimize speed and memoryAleksandr Smirnovasmirno1@uncc.eduhttps://youtu.be/9eWbB5Pm1Oo
Pacific Northwest National Lab (CIDC)22MS2 Drift Time Offset in IMS-QTOF Data ProcessingJessica Badejessica.bade@pnnl.govhttps://youtu.be/nHTofW84yOk
University of MichiganApplications of data-driven network analysis for metabolomics and gene expressionAlla Karnovskyakarnovs@umich.eduhttps://youtu.be/6FqM6rL0SJI
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 KambhampatiSKambhampati@danforthcenter.orghttps://youtu.be/ScOz85kC_68
Jackson Laboratory (DTC)24Simultaneous metabolomics and lipidomics profiling reveals intracellular pathways in trophectoderm differentiation altered by metabolic environmentsMaheshwor ThapaMaheshwor.Thapa@jax.orghttps://youtu.be/V6mX6RKUHNY
Emory University (CIDC)25Xenobiotic biotransformation networking for identification of undocumented xenobiotic exposuresGrant Singergrant.matthew.singer@emory.eduhttps://youtu.be/WNFcKFluZ-c
Vanderbilt UniversityTools for Leveraging High-Resolution MS Detection of Stable Isotopes for Metabolomics ApplicationsJamey Youngj.d.young@vanderbilt.eduhttps://youtu.be/OmiBwWHW8Yw
University of MichiganChromatographic strategies to enhance compound identification, and software tools to line up IDs, assess confidence, and keep track of it allCharles Evanschevans@umich.eduhttps://youtu.be/x7S1a5BAUZc
Lightning Talks I  – 2:00 to 2:15    
Pacific Northwest National Lab (CIDC)26An Automated Process for Expanding Experimental CCS Reference LibrariesChristine Changchristine.chang@pnnl.govhttps://youtu.be/PLna1y8W100
Jackson Laboratory/McGill University (DTC)27COVID Metabolomics Explorer: collaborative exploration of public COVID-19 metabolomics data within MetaboAnalystZhiqiang Pangzhiqiang.pang@mail.mcgill.cahttps://youtu.be/Z7ntKTxikp4
University of North Carolina Charlotte (DTC)28Towards prediction of unknown lipidsCiara Conwaycconwa10@uncc.eduhttps://youtu.be/-ENuRTiP4JY
University of Colorado, DenverAddressing Sparsity in Metabolomics Data AnalysisKaterina Kechriskaterina.kechris@cuanschutz.eduhttps://youtu.be/LWCpaenqYHI
Lightning Talks J  – 3:00 to 3:15    
Jackson Laboratory (DTC)29JSON’s Metabolite Services to bridge genome-scale metabolic models and metabolomicsMinghao GongMinghao.Gong@jax.orghttps://youtu.be/XCSPII5-Djk
UC Davis (CIDC)30Creation of tandem mass spectra (MS/MS) with density functional theory (DFT)Tobias Kindtkind@ucdavis.eduhttps://youtu.be/9I_oecU5N5s
MD Anderson (DTC)31MetaBatch Omic Browser: a web resource for visualization and analysis of batch effects in MWBJohn Weinsteinjweinste@mdanderson.orghttps://youtu.be/4WWZz4y_7TU
University of GeorgiaIntegrating LC-MS and NMR for Compound ID using Computational Chemistry and a Genetics-focused Study DesignArt Edisonaedison@uga.eduhttps://youtu.be/z2d3hDZ2ouA
Closing RemarksRick Yost and Mike Conlonryost@ufl.edu, mconlon@ufl.eduhttps://youtu.be/80im3h7VUos
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