|Sonia Ting, is a Ph.D. candidate at the University of Washington Department of Genome Sciences in the MacCoss Lab. Her primary focus is on developing new software for data-independent acquisition (DIA) MS/MS analysis. Prior to joining the MacCoss Lab, she worked as a visiting scientist at the University of Washington Department of Medicinal Chemistry in the Goodlett Lab where she focused on developing bioinformatics solutions for lipid structural characterization and metaproteomics. |
Application of PECAN for confident peptide detection directly from data-independent acquisition (DIA) MS/MS data
PECAN is a tool for confident peptide detection directly from DIA data without a prerequisite spectral library. Its power as a DIA data analysis tool lies in its robustness and unrestricted querying space, enabling both targeted and discovery exploration of DIA data. In this presentation the performance of PECAN is discussed, how PECAN is used in exploring peptides from DIA data in various studies, and its integration with Skyline for visualization and downstream quantification.