Simon Friedensohn

发表

Synthetic standards combined with error and bias correction improves the accuracy and quantitative resolution of antibody repertoire sequencing in human naïve and memory B cells

Sai T. Reddy, Enkelejda Miho, Simon Friedensohn, 2018 .

Deep learning enables therapeutic antibody optimization in mammalian cells by deciphering high-dimensional protein sequence space

Cédric R. Weber, Sai T Reddy, Simon Friedensohn, 2019, bioRxiv.

Synthetic Standards Combined With Error and Bias Correction Improve the Accuracy and Quantitative Resolution of Antibody Repertoire Sequencing in Human Naïve and Memory B Cells

Sai T. Reddy, Enkelejda Miho, Simon Friedensohn, 2018, bioRxiv.

Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting

Sai T Reddy, Simon Friedensohn, Jakub Straszewski, 2016, Science Advances.

Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing

Sai T. Reddy, Victor Greiff, Mark Pogson, 2014, PloS one.

Convergent selection in antibody repertoires is revealed by deep learning

Daniel Neumeier, Sai T Reddy, Simon Friedensohn, 2020, bioRxiv.

Advanced Methodologies in High-Throughput Sequencing of Immune Repertoires.

Sai T Reddy, Simon Friedensohn, S. Reddy, 2017, Trends in biotechnology.

Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice

Victor Greiff, Mark Pogson, Ulrike Haessler, 2014, BMC Immunology.