Galaxy-based Multi-omic Informatics Hub for Cancer Researchers
On Wednesday, January 15, Dr. Tim Griffin and Dr. Pratik Jagtap will present "Galaxy-based Multi-omic Informatics Hub for Cancer Researchers."
In this talk, Dr. Griffin and Dr. Jagtap will present short demonstrations of multi-omic tools and validated workflows and discuss application and access to these resources. Utilizing the Galaxy platform with extension of Galaxy for proteomics (Galaxy-P project), Drs. Griffin and Jagtap will provide insights about their goal to implement data analysis and informatics tools for integration of biological mass spectrometry data (proteomics and metabolomics) with genomic / transcriptomic information to advance cancer research. The Galaxy-based Multi-omic Informatics Hub for Cancer Researchers is funded through NCI’s Informatics Technology for Cancer Research (ITCR) program (1U24CA199347-01A1).
The Data Science Seminar Series presents talks from innovators in the research and informatics communities both within and outside of NCI.
Dr. Tim Griffin is a professor and director of the Center for Mass Spectrometry and Proteomics at the University of Minnesota College of Biological Sciences. His expertise includes biological mass spectrometry, quantitative proteomics, protein and peptide chemistry, and bioinformatics. Dr. Griffin has a doctorate from the University of Wisconsin, Madison.
Dr. Pratik Jagtap is a research assistant professor at the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota. His current research interests include developing analytical workflows using Galaxy platform in the area of proteomics, especially in emerging area of metaproteomics, proteogenomics and data-independent acquisition (DIA) data analysis. He has authored over 20 peer-reviewed manuscripts. Dr. Jagtap has a doctorate from the Centre for Cellular and Molecular Biology in Hyderabad, India, and a master's degree in microbiology from the Savitribai Phule Pune University.
- Using the EMERSE Search Tool for Rare CancersFebruary 18, 2020Virtual Workshop on Data MetricsFebruary 19, 2020Genomic Data Commons (GDC) Clinical Data Analysis WebinarFebruary 24, 2020