#46 HiFi reads and HiCanu with Sergey Nurk and Sergey Koren

<p>In this episode, I continue to talk (but mostly listen) to <a href="https://genomeinformatics.github.io/people/koren/">Sergey Koren</a> and <a href="https://genomeinformatics.github.io/people/nurk/">Sergey Nurk</a>. If you missed the <a href="https://bioinformatics.chat/canu">previous episode</a>, you should probably start there. Otherwise, join us to learn about HiFi reads, the tradeoff between read length and quality, and what tricks HiCanu employs to resolve highly similar repeats.</p> <p>Links:</p> <ul> <li><a href="https://www.biorxiv.org/content/10.1101/2020.03.14.992248v3">HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads</a> (Sergey Nurk, Brian P. Walenz, Arang Rhie, Mitchell R. Vollger, Glennis A. Logsdon, Robert Grothe, Karen H. Miga, Evan E. Eichler, Adam M. Phillippy, Sergey Koren)</li> <li><a href="https://github.com/marbl/canu">Canu on GitHub</a> (includes the HiCanu mode)</li> <li><a href="https://sites.google.com/ucsc.edu/t2tworkinggroup">The Telomere-to-Telomere (T2T) consortium</a></li> </ul>