#20 B cell receptor substitution profile prediction and SPURF with Kristian Davidsen and Amrit Dhar

In this episode Kristian Davidsen and Amrit Dhar present their project called SPURF. SPURF can predict the B cell receptor (BCR) substitution profile of a given clonal family based on a single representative sequence from that family. SPURF works by fitting a tensor regression model to publicly available Rep-seq data.

Links:

• Preprint: Predicting B Cell Receptor Substitution Profiles Using Public Repertoire Data
• Blog post about SPURF by Erick Matsen
• SPURF on GitHub

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