| PI Institution | Lightning Talk # | Title | Presenting Author | Presenting Author Email | Recording |
| Tuesday, May 31st |
| | Welcome and Program Overview | James Anderson and Art Castle | andersonjm@od.nih.gov, arthur.castle@nih.gov | https://youtu.be/toHzdKwBpis |
| University of Florida | | Coordinating, Engaging and Promoting the Consortium | Rick Yost and Mike Conlon | ryost@ufl.edu, mconlon@ufl.edu | https://youtu.be/mxRHHFIGGh4 |
| Jackson Laboratory | | Mummichog 3, aligning mass spectrometry data to biological networks | Shuzhao Li | Shuzhao.Li@jax.org | https://youtu.be/H4l1pwAIt-Q |
| Lightning Talks A – 12:30-12:45 | | | | | |
| University of Georgia/Georgia Tech (CIDC) | 1 | Strengths and Current Limitations of Ion Mobility for Unknown Metabolite Identification | Carter Asef | casef3@gatech.edu | https://youtu.be/WKz23gANfHk |
| University of Michigan (DTC) | 2 | Integrative transcriptome-metabolome analysis of sexual dimorphism in aerobic capacity rat model | Gayatri Iyer | griyer@umich.edu | https://youtu.be/G2ORK1vEglk |
| Pacific Northwest National Lab/University of Alberta (CIDC) | 3 | BioTransformer 3.0—A Web Server for Accurately Predicting Metabolic Transformation Products | Siyang Tian | stian2@ualberta.ca | https://youtu.be/2dugPG1yi3Y |
| University of California, Davis | | Integrating MassBank.us, MS, MS/MS and retention time modeling in confident annotation of metabolites in the LC-BinBase database | Oliver Fiehn | ofiehn@ucdavis.edu | https://youtu.be/dz7wCeW4U7k |
| Lightning Talks B – 1:45 – 2:00 | | | | | |
| UC Davis (CIDC) | 4 | Quantum chemistry and electron ionization mass spectra prediction | Shunyang Wang | sywang@ucdavis.edu | https://youtu.be/TFamAdhCY7w |
| UC San Diego (NMDR) | 5 | MetEnp | Mano Maurya | mano@sdsc.edu | https://youtu.be/lkKNstiesE4 |
| Vanderbilt University (DTC) | 6 | Elucidating active networks using stable-isotope labeling and untargeted metabolomics | Javier Gomez | javier.d.gomez@vanderbilt.edu | https://youtu.be/WR3rQ60bQHM |
| Working Group Reports | | QM Modeling and Terminology in Metabolomics | Art Edison and Gary Patti | aedison@uga.edu, gjpattij@wustl.edu | https://youtu.be/5T7bOHalApw |
| Lightning Talks C – 2:30 to 2:45 | | | | | |
| University of Colorado (DTC) | 7 | DisCo P-ad: Distance Correlation-Based Adjusted P-value Boosts Multiple-Testing Corrections in Metabolomics Analyses | Debmalya Nandy | debmalya.nandy@cuanschutz.edu | https://youtu.be/u2nRPzZP59E |
| University of Michigan (CIDC) | 8 | LC-MS Strategies for Additional Metabolite Identification | Brady Anderson | anderbra@umich.edu | https://youtu.be/BvarseXc63I |
| Jackson Laboratory/Scripps (DTC) | 9 | 5 minutes • 5 years • 5 METLIN downloads | Gary Siuzdak | siuzdak@scripps.edu | https://youtu.be/lAzvNBKFmDE |
| University of North Carolina, Charlotte | | ADAP-BIG: A cross-platform and graphical software tool for preprocessing metabolomics big data | Xiuxia Du | xiuxia.du@uncc.edu | https://youtu.be/Qqt06aaoOnw |
| Lightning Talks D – 3:30 to 3:50 | | | | | |
| Pacific Northwest National Lab/University of Alberta (CIDC) | 10 | CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound Identification | Fei Wang | fw4@ualberta.ca | https://youtu.be/iMXb8OovF8I |
| Washington University (DTC) | 11 | | | | https://youtu.be/NglLtkwKXK0 |
| UC San Diego (NMDR) | 12 | MetGene | Sumana Srinivasan | susrinivasan@eng.ucsd.edu | https://youtu.be/0gWji05a7RI |
| University of Florida (M3C) | 13 | Open, Published, RDF Metadata for Datasets, Studies, Publications, and Investigators of the Metabolomics Workbench and Related Work | Mike Conlon | mconlon@ufl.edu | https://youtu.be/0B96nDuuTbc |
| Working Group Reports | | Unknown Lipids and Unknown Polars | Charles Evans | chevans@umich.edu | https://youtu.be/Ql7m2Z_O_kc |
| Wednesday June 1st |
| Washington University | | Database-Assisted MS/MS Deconvolution for Metabolite Identification | Gary Patti | gjpattij@wustl.edu | https://youtu.be/Cf_bdTNvQfE |
| Lightning Talks E – 1:00 to 1:15 | | | | | |
| Jackson Laboratory/McGill University (DTC) | 14 | Comprehensive investigation of pathway enrichment methods for LC-MS-based untargeted metabolomics data | Yao Lu | yao.lu5@mail.mcgill.ca | https://youtu.be/j2NX2EJST3w |
| University of Michigan (CIDC) | 15 | Disparate LC-MS Alignment of Common Fund Metabolomics Consortium Inter-laboratory Unknown Lipids Datasets | Hani Habra | hhani@umich.edu | https://youtu.be/fz6HRLSzz4c |
| University of Colorado (DTC) | 16 | MSCAT v2.0: Updates and new features on the Metabolomics Software Database | Wladimir Labeikovsky | Wladimir.Labeikovsky@cuanschutz.edu | https://youtu.be/hpwEtFa5ql0 |
| Emory University | | Development of biological criteria to enhance mass spectrometry-based metabolite identification | Dean Jones | dpjones@emory.edu | https://youtu.be/nxjZT6E7sDg |
| Collaborative Projects Reports | | The National Metabolomics Data Repository and integrated resources on the Metabolomics Workbench and Common Datasets for Benchmarking | Shankar Subramaniam and Corey Broeckling | shankar@sdsc.edu, Corey.Broeckling@colostate.edu | https://youtu.be/z4ZaA2Ckptc |
| MD Anderson | | MetaBatch Omic Browser update: a web resource for dynamic visualization, analysis, and correction of batch effects in MWB data | John Weinstein | jweinste@mdanderson.org | https://youtu.be/mmFhe1wUV-8 |
| Lightning Talks F – 3:30 to 3:45 | | | | | |
| Jackson Laboratory (DTC) | 17 | Trackable and scalable LC-MS metabolomics data processing using asari | Amnah Siddiqa | Amnah.Siddiqa@jax.org | https://youtu.be/50eRFsHiGBg |
| University of Georgia (CIDC) | 18 | Addressing Batch Effects in Large-Scale Metabolomics | Amanda Shaver | amanda.shaver@uga.edu | https://youtu.be/P4j-1m-i0wo |
| University of Michigan (DTC) | 19 | Bayesian methodology for estimating differential networks with applications to metabolomics | George Michailidis | gmichail@ufl.edu | https://youtu.be/x89OLdBOJCI |
| Collaborative Project Report | | ADAP-KDB: Tracking known and unknown mass spectral features in NMDR | Xiuxia Du | xiuxia.du@uncc.edu | https://youtu.be/3PvPhiTe2cc |
| Pacific Northwest National Lab | | Exploiting the ‘curse of dimensionality’ for metabolite identification | Tom Metz | thomas.metz@pnnl.gov | https://youtu.be/NNkl-kiJJ_E |
| Thursday June 2nd |
| University of California, San Diego | | Metabolomics Tools and Resources for the Research Community | Shankar Subramaniam | shankar@sdsc.edu | https://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) | 21 | Approaches to optimize speed and memory | Aleksandr Smirnov | asmirno1@uncc.edu | https://youtu.be/9eWbB5Pm1Oo |
| Pacific Northwest National Lab (CIDC) | 22 | MS2 Drift Time Offset in IMS-QTOF Data Processing | Jessica Bade | jessica.bade@pnnl.gov | https://youtu.be/nHTofW84yOk |
| University of Michigan | | Applications of data-driven network analysis for metabolomics and gene expression | Alla Karnovsky | akarnovs@umich.edu | https://youtu.be/6FqM6rL0SJI |
| Lightning Talks H – 12:15 to 12:30 | | | | | |
| Vanderbilt University/Danforth Center (DTC) | 23 | Insights into plant lipid metabolism using stable isotopes and high-resolution mass spectrometry | Shrikaar Kambhampati | SKambhampati@danforthcenter.org | https://youtu.be/ScOz85kC_68 |
| Jackson Laboratory (DTC) | 24 | Simultaneous metabolomics and lipidomics profiling reveals intracellular pathways in trophectoderm differentiation altered by metabolic environments | Maheshwor Thapa | Maheshwor.Thapa@jax.org | https://youtu.be/V6mX6RKUHNY |
| Emory University (CIDC) | 25 | Xenobiotic biotransformation networking for identification of undocumented xenobiotic exposures | Grant Singer | grant.matthew.singer@emory.edu | https://youtu.be/WNFcKFluZ-c |
| Vanderbilt University | | Tools for Leveraging High-Resolution MS Detection of Stable Isotopes for Metabolomics Applications | Jamey Young | j.d.young@vanderbilt.edu | https://youtu.be/OmiBwWHW8Yw |
| University of Michigan | | Chromatographic strategies to enhance compound identification, and software tools to line up IDs, assess confidence, and keep track of it all | Charles Evans | chevans@umich.edu | https://youtu.be/x7S1a5BAUZc |
| Lightning Talks I – 2:00 to 2:15 | | | | | |
| Pacific Northwest National Lab (CIDC) | 26 | An Automated Process for Expanding Experimental CCS Reference Libraries | Christine Chang | christine.chang@pnnl.gov | https://youtu.be/PLna1y8W100 |
| Jackson Laboratory/McGill University (DTC) | 27 | COVID Metabolomics Explorer: collaborative exploration of public COVID-19 metabolomics data within MetaboAnalyst | Zhiqiang Pang | zhiqiang.pang@mail.mcgill.ca | https://youtu.be/Z7ntKTxikp4 |
| University of North Carolina Charlotte (DTC) | 28 | Towards prediction of unknown lipids | Ciara Conway | cconwa10@uncc.edu | https://youtu.be/-ENuRTiP4JY |
| University of Colorado, Denver | | Addressing Sparsity in Metabolomics Data Analysis | Katerina Kechris | katerina.kechris@cuanschutz.edu | https://youtu.be/LWCpaenqYHI |
| Lightning Talks J – 3:00 to 3:15 | | | | | |
| Jackson Laboratory (DTC) | 29 | JSON’s Metabolite Services to bridge genome-scale metabolic models and metabolomics | Minghao Gong | Minghao.Gong@jax.org | https://youtu.be/XCSPII5-Djk |
| UC Davis (CIDC) | 30 | Creation of tandem mass spectra (MS/MS) with density functional theory (DFT) | Tobias Kind | tkind@ucdavis.edu | https://youtu.be/9I_oecU5N5s |
| MD Anderson (DTC) | 31 | MetaBatch Omic Browser: a web resource for visualization and analysis of batch effects in MWB | John Weinstein | jweinste@mdanderson.org | https://youtu.be/4WWZz4y_7TU |
| University of Georgia | | Integrating LC-MS and NMR for Compound ID using Computational Chemistry and a Genetics-focused Study Design | Art Edison | aedison@uga.edu | https://youtu.be/z2d3hDZ2ouA |
| | Closing Remarks | Rick Yost and Mike Conlon | ryost@ufl.edu, mconlon@ufl.edu | https://youtu.be/80im3h7VUos |
