Kristian Davidsen's guest appearances

Kristian Davidsen

the bioinformatics chat

David Kelley

Irineo Cabreros

Romain Lopez

Gabriel Misrachi

Hassan Samee

Kristina Grigaityte

Jacob Schreiber

Simeon Carstens

Trevor Pesout

HoJoon Lee

Seung Woo Cho

Kaushik Panda

Keith Slotkin

Fernando Portela

Chang Xu

OwlTail

Amrit Dhar

In this episodeKristian DavidsenandAmrit Dharpresent their project called SPURF.SPURF can predict the B cell receptor (BCR) substitution profile of a given clonalfamily based on a single representative sequence from that family.SPURF works by fitting a tensor regression model to publicly availableRep-seq data. Links:  Preprint: Predicting B Cell Receptor Substitution Profiles Using Public Repertoire Data Blog post about SPURF by Erick Matsen SPURF on GitHub  If you enjoyed this episode, please consider supporting the podcast on Patreon!

In this episode <a href="https://github.com/krdav" rel="nofollow" target="_blank">Kristian Davidsen</a> and <a href="https://github.com/dunleavy005" rel="nofollow" target="_blank">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. Links: <ul> <li><a href="https://arxiv.org/abs/1802.06406" rel="nofollow" target="_blank">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" rel="nofollow" target="_blank">Blog post about SPURF by Erick Matsen</a></li> <li><a href="https://github.com/krdav/SPURF" rel="nofollow" target="_blank">SPURF on GitHub</a></li> </ul> If you enjoyed this episode, please consider supporting the podcast on <a href="https://www.patreon.com/bioinfochat" rel="nofollow" target="_blank">Patreon</a>!

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