Local read haplotagging enables accurate long-read small variant calling
Alexey Kolesnikov(Google (United States)), Kishwar Shafin(Google (United States)), Miten Jain(Northeastern University), Daniel E. Cook(Google (United States)), Karen H. Miga(University of California, Santa Cruz), Sneha D. Goenka(Stanford University), Pi-Chuan Chang(Google (United States)), Brandy McNulty(University of California, Santa Cruz), Lucas Brambrink(Google (United States)), Andrew Carroll(Western NSW Local Health District), Maria Nattestad(Google (United States)), Euan A. Ashley(Stanford University), Benedict Paten(University of California, Santa Cruz), John E. Gorzynski(Stanford University)
Cited by 21
Related Papers
The complete sequence of a human genome
|Science|2022|3.3k
Nanopore sequencing and assembly of a human genome with ultra-long reads
|Nature Biotechnology|2018|2.1k
Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome
|Nature Biotechnology|2019|2k
A universal SNP and small-indel variant caller using deep neural networks
|Nature Biotechnology|2018|2k
A draft human pangenome reference
|Nature|2023|1.2k