Western Blot Quantification
Standardizes western blot analysis through automated band detection, two-step normalization, statistical aggregation, and publication-ready visualization.
Western Blot Quantification provides a robust, reproducible protocol for analyzing Western blot image data across complex experimental designs like multi-condition treatments, time courses, and dose-response assays. It equips Claude Code with decision frameworks for single- and two-step normalization—such as untangling post-translational modifications from total protein abundance using loading controls like GAPDH or Ponceau S—while automating region-of-interest (ROI) band detection, replicate-level fold change aggregation, and statistical reporting. This skill is indispensable for life scientists, bioinformaticians, and lab researchers seeking rigorous, publication-standard quantification workflows directly within their computational pipelines.