NIH R01 · 2025
Detection and genotyping complex human genetic variation using single-molecule sequencing
Project summary Although single-molecule sequencing (SMS) technologies have advanced in recent years to enable routine sequencing and assembly of human genomes, new software is required to utilize the potential of SMS in human genetics. The long term goal is to help improve our understanding of complex variation in human diversity and its role in disease. To achieve this, we will develop methods to (1) detect variation in SMS reads, (2) assemble duplicated sequences missing from SMS de novo assemblies, and (3) genotype complex variation in large HTS datasets using lightweight data structures. While several years of algorithm development for SMS data have resulted in an software ecosystem to…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.