Detecting and phasing minor single-nucleotide variants from long-read sequencing data

за авторством: Zhixing Feng, Jose C. Clemente, Brandon Wong, Eric E. Schadt

Формат: Article
Опубліковано: Nature Portfolio 2021-05-01

Опис

Cellular genetic heterogeneity is common across biological conditions, yet application of long-read sequencing to this subject is limited by error rates. Here, the authors present iGDA, a tool for detection and phasing of minor variants from long-read sequencing data, allowing accurate reconstruction of haplotypes.