| 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 |
