New strategy for bacterial species identification in Urinary Tract Infection using Artificial Intelligence on Ultrafast LC-MSMS-DIA runs

C297-E086 Microorganism Species Analysis and Component Analysis – Detection and Identification of Microorganisms and Metabolite Analysis – Shimadzu’s Microorganism Solutions JQA-0376 Founded in 1875, Shimadzu Corporation, a leader in the development of advanced technologies, has a distinguished history of innovation…

Exploring high complexity proteomes with a DIA based quant and ID workflow Data Independent Acquisition (DIA) workflows have recently gained in popularity as they overcome the issue of stochastic selection of peptide precursors encountered in typical data-dependent approaches (DDA). Introduction…

TECHNICAL REVIEW Quantitative Proteomics A biologist’s guide to modern techniques in quantitative proteomics Introduction Biology is the study of the dynamic changes that living things undergo over time and in response to external stimuli. Proteins play a crucial role in…

PO-CON1888E A metabolomics study into influenza virus infection by HRAM Q-TOF analysis ASMS 2019 Emily Armitage1; Jonathan Swann2; Mick Bailey3; Ian D Wilson2; Neil J Loftus1 1 Shimadzu Corporation, Manchester, UK; 2 Imperial College London, Department of Surgery and Cancer,…