A podcast about computational biology, bioinformatics, and next generation sequencing.
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episode 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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