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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 |
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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.