<p>In this episode
<a href="https://github.com/krdav">Kristian Davidsen</a>
and
<a href="https://github.com/dunleavy005">Amrit Dhar</a>
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.</p>

      

      
      <p>Links:</p>
<ul>
  <li><a href="https://arxiv.org/abs/1802.06406">Preprint: Predicting B Cell Receptor Substitution Profiles Using Public Repertoire Data</a></li>
  <li><a href="http://matsen.fredhutch.org/general/2018/04/19/spurf.html">Blog post about SPURF by Erick Matsen</a></li>
  <li><a href="https://github.com/krdav/SPURF">SPURF on GitHub</a></li>
</ul>

#21 Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov

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