NIH Metabolomics Scientific Interest Group Webinar Series: ADAP and ADAP-KDB

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.