About this Class

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 “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. Speaker: 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.