Nuno Bandeira Digitizing MS-enabled biology Reference lookup “De novo” interpretation How good/important is this identification? Which spectra were identified before and why do they matter? What are the similar datasets? What are the most important or common unidentified spectra? Who analyzes similar data?

Core Expertise: Large scale algorithms and computational analysis Big Data Big Algorithms Thousands of datasets, tens of billions of spectra Designed to build on rather than just ‘tolerate’ big data http://massive.ucsd.edu http://proteomics.ucsd.edu/software Big Compute Big Community Proteomics Scalable, Accessible and Flexible environment Dozens of advanced workflows scalable to thousands of cores Empower and enable community-wide sharing of knowledge http://proteomics.ucsd.edu/ProteoSAFe http://gnps.ucsd.edu

Proposed Collaborations with SSPPS Faculty Identify everything, every time ? Mono/Polyclonal antibodies, unsequenced organisms Interactions, conjugates MHC-I/II, endogenous peps Natural products Quantify knowns and unknowns Remember everything that matters and why Therapeutic implications Structural and functional context Deep characterization Comprehensive characterization