10 things I hate about proteomics
Abstract
Despite the title, says Dr. Williams, “this presentation is about my romance with proteomics.” From myths about assay size (and why it’s annoying when people say, “3,000 proteins is enough”) to the issue surrounding cis pQTLs (and why they’re “a nice party trick, but mostly biologically boring”), Dr. Williams explains in a fun – but serious – way how proteomics is revolutionizing drug discovery research and precision medicine worldwide today. He also couldn’t resist telling the story about what happens when two proteins walk into a bar. (Spoiler alert: This is why he has a career in medicine and not in stand-up comedy.)

Stephen A. Williams, MD, PhD
Chief Medical Officer
SomaLogic, Inc.
Stephen Williams, MD, PhD, is Chief Medical Officer at SomaLogic and is responsible for Clinical R&D, Medical Affairs, and Regulatory and Quality. He oversees clinical application of the SomaScan® Platform and has also had roles in launching the life sciences commercial business, assay development and bioinformatics.
Read more about Dr. Williams here.
10 things I hate about proteomics
A presentation by Stephen Williams, MD, PhD
More webinars
WebinarBeyond the trees: See the bigger biological picture with pathway enrichment analysis
Proteomic data holds enormous potential—but the biology is rarely contained in a single protein. When you’re handed a list of differentially abundant proteins, the next challenge is turning that list into a clear, testable story about mechanisms and processes.
WebinarFinding the signal: Identifying reproducible biomarkers in high-plex proteomics
In biomarker discovery, the challenge is rarely a lack of data. Rather, it is knowing how to separate meaningful biological signal from technical distraction. This webinar focuses on how to use univariate analysis as a practical and powerful entry point for biomarker discovery in high-plex proteomics studies.
WebinarMore than the sum of its parts: How harmonized proteomic data reveals meaning across disparate clinical cohorts
Proteomics data generated across sites, time points, and workflows can be difficult to compare using standard normalization alone. This webinar shows how harmonization aligns datasets into a shared biological framework and reveals signals across studies and cohorts, highlighted through the GNPC’s analysis of 40,000 patient samples.
