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Register Data preprocessing and compound identification are two important steps for making sense of mass spectrometry-based untargeted metabolomics data. In this webinar, Dr. Xiuxia Du will demonstrate the software tool
Data preprocessing and compound identification are two important steps for making sense of mass spectrometry-based untargeted metabolomics data. In this webinar, Dr. Xiuxia Du will demonstrate the software tool “ADAP” and the online resource “ADAP-KDB,” which were developed by her research group.
ADAP extracts compound information from untargeted LC-MS and GC-MS data through data preprocessing. It carries out a sequence of computational steps, including peak picking, peak grouping, alignment, and spectral deconvolution. Dr. Du will describe the principles of the computational algorithms that underlie these steps.
ADAP-KDB is a spectral knowledge base that uses information from publicly available data repositories (such as the NIH’s Metabolomics Data Repository) for prioritizing unknown compounds. It consists of a computational workflow for extracting prioritization information and an online portal that allows researchers to manage and search the knowledge base.
Registration for this webinar is required in advance.
Xiuxia Du, Ph.D.
Dr. Du is a professor at the Department of Bioinformatics and Genomics, within the College of Computing and Informatics at the University of North Carolina at Charlotte.
(Wednesday) 11:00 am - 12:00 pm