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

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 reconstructio...

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Autores principales: Zhixing Feng, Jose C. Clemente, Brandon Wong, Eric E. Schadt
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/37aa516a22e74b34bed4e369ee1e4b98
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Sumario: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.