the bioinformatics chat

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

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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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