Thermo Fisher Scientific
Mass spectrometry-based proteomics offers unbiased, systems-level insights to biological systems. Proteomics has the potential to characterize the structure, function, and activity of protein components at unparalleled depth. Quantitative discovery approaches allow not only the identification of various protein components within these systems but also their abundance levels, or expression status. A variety of techniques and methodologies are employed to survey and quantify proteomes in discovery mode.
This webinar provides an overview of these current state-of-the art techniques utilized in the field of quantitative discovery proteomics. The speakers will cover the basic principles of the most common quantitative workflows including label-free and isobaric labeling approaches. Their discussion will focus on a comparative study, conducted to objectively evaluate the performance of the quantitative approaches using the latest-generation mass spectrometry instrumentation and analysis tools. The participants will hear about practical aspects of each workflow, current data analysis tools to streamline data processing, and statistical methodology to determine quantitative performance. Ultimately, participants will be able to set reasonable expectations for each approach and select the appropriate workflow for their experimental objectives.
During this webinar, the speakers will provide:
Aaron Gajadhar, Strategic Marketing Scientist, Thermo Fisher Scientific
Aaron Gajadhar works for Thermo Fisher Scientific in the Proteomics Marketing group and is involved in the development of new LC-MS workflows and technologies.
Dr. Olga Vitek, Associate Professor, Northeastern University
Olga Vitek is a Sy and Laurie Sternberg Interdisciplinary Associate Professor in the College of Computer and Information Science at Northeastern University. Her group develops statistical methods and algorithms for mass spectrometry-based experiments.
Dr. Meena Choi, Postdoctoral Research Associate, Northeastern University
Meena Choi is a post-doctoral associate in the lab of Olga Vitek at Northeastern University. She develops statistical methods, tools and software for design and analysis of quantitative mass spectrometry-based proteomic experiments. She is the lead author of the open-source software MSstats.
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