Details

This session walks through the core stages of an analysis workflow, giving a clear, practical view of how sequencing reads are converted into interpretable protein-level signals. We cover typical steps from read QC and demultiplexing through counting/quantification, normalization, statistical testing, and biological interpretation, along with common pitfalls and best practices for complex, high-dimensional datasets. 

Key topics include: 

  • Proteomics overview 
  • Data QC and cleaning 
  • Normalization 
  • Exploratory analysis 
  • Differential analysis 
  • Biological interpretation  

By the end of this MiniBootcamp, you will walk away with a stronger conceptual foundation, practical insights, and a clearer path forward for your own proteomics studies. 

Explore more MiniBootcamp sessions here.

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Date & Time
Aug 27, 2026
Topic
Software & informatics
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