Konrad Herbst

This paper introduces a chromosomally integrated yeast surface display system for scalable, quantitative antibody profiling and serological assays.

The paper improves CRISPR-Cas12a-assisted gene tagging in mammalian cells by enhancing HDR efficiency and reducing off-target integrations through modified cassettes and repair pathway modulation.

The paper establishes and characterizes a marine bacterial library, identifying genetic variations, growth patterns, and methodological challenges in strain maintenance and analysis.

This paper introduces MASS, an algorithm for selecting representative phenotypes from complex datasets, applied to microbial data to identify predictive environmental conditions.

The paper introduces CASTLING, a method for efficiently creating pooled yeast gene tagging libraries using CRISPR/Cas12a and recombineering, achieving high tagging success rates.

The paper describes a C-SWAT library for high-throughput tagging of yeast ORFs and validates it by tagging the yeast proteome with fluorescent proteins.