Description: To advance discovery in proteomics and subfields like, immunopeptidomics, we need to harness the latest mass spectrometry technology with advanced data analysis solutions. With the accuracy, sensitivity, and speed of new mass spec instruments, it is pertinent to develop software that is robust, easy to use, high throughput, and can truly take advantage of these new technologies. At BSI, we embrace this mission and continue our efforts by developing the latest data analysis software for discovery proteomics. Here at HUPO 2022, we are proud to announce new versions of PEAKS Studio and PEAKS Online and have two PEAKS users share how they use the software for their research.
For our Industry Sponsored Seminar, we are happy to have Dr. Cristina C Clement, Assistant Professor of Research at Weill Cornell Medicine and Dr. Mayank Srivastava Scientist, Proteomics and Immunopeptidomics at Regeneron share some of their work. Lastly, we have our BSI Applications Manager, Dr. Kyle Hoffman, present our latest workflow, DeepNovo Peptidome, a deep learning-based workflow in PEAKS Online to increase the sensitivity and accuracy of peptide identification.
Cristina C Clement, PhD, Assistant Professor of Research, Radiation/Oncology Department, Weill Cornell Medicine
Title: Exploring the proteomes and immunopeptidomes of dendritic cells under physiologically healthy and redox stress mediated metabolic syndrome
Mayank Srivastava, PhD, Scientist, Proteomics and Immunopeptidomics, Regeneron Pharmaceuticals Inc.
Title: Proteogenomic Identification of Hepatitis B virus (HBV) genotype-specific HLA-I restricted peptides from HBV-positive patient liver tissues
Kyle Hoffman, PhD, Applications Manager, Bioinformatics Solutions Inc.
Title: DeepNovo Peptidome: Deep learning-based workflow to increase the sensitivity and accuracy of peptide identification