Stanford SUMS Seminar – Connecting LC-MS data analysis with non-MS techniques

About This Webinar

Take an in-depth exploration of the latest advancements in proteomics and its pivotal role in the next wave of scientific research and drug development. Eric Carlson delves into the complexities of proteomics compared to genomics, highlighting its potential to unlock deeper biological insights through advanced analytical techniques, particularly LC-MS. The integration of proteomics data with other data types to foster a more holistic understanding of biological processes, which is essential for biomarker discovery and therapeutic advancements, is discussed. This webinar showcased cutting-edge software solutions designed to efficiently handle and interpret complex proteomics data, underscoring the importance of technological innovation in accelerating research outcomes and minimizing errors in the development of new drugs.

Key Learning Objectives

  • Emergence of Proteomics: Proteomics is becoming central in understanding biological complexities beyond genomics, offering detailed insights into protein functions and their role in disease and health.
  • Data Integration: Combining proteomics data with genomics and other datasets is crucial for a comprehensive understanding of biological mechanisms and advancing drug development.
  • Advancements in Data Analysis: New technologies and software for proteomics analysis, particularly LC-MS, enhance the ability to interpret complex data, speeding up research and reducing errors in drug development.