Next-generation sequencing is a powerful approach for discovering genetic variation.
Sensitive variant calling and haplotype inference from population sequencing data remain …

Background Accurate genotype imputation can greatly reduce costs and increase benefits
by combining whole-genome sequence data of varying read depth and array genotypes of …

Motivation Cells in an organism share a common evolutionary history, called cell lineage
tree. Cell lineage tree can be inferred from single cell genotypes at genomic variation sites …

Identity by descent (IBD) can be reliably detected for long shared DNA segments, which are
found in related individuals. However, many studies contain cohorts of unrelated individuals …

Insertions and deletions (indels) are important types of structural variations. Obtaining
accurate genotypes of indels may facilitate further genetic study. There are a few existing …

Motivation: Low coverage sequencing provides an economic strategy for whole genome
sequencing. When sequencing a set of individuals, genotype calling can be challenging due …

Deep sequencing technologies enable the study of the effects of rare variants in disease
risk. While methods have been developed to increase statistical power for detection of such …

Low-pass genome sequencing is cost-effective and enables analysis of large cohorts.
However, it introduces biases by reducing heterozygous genotypes and low-frequency …

The Bio-Grid REU (Research Experience for Undergraduates) Site offers undergraduate
students to participate in the research activities associated with the Bio-Grid Initiatives …

Genome-wide association studies (GWAS) and next generation sequencing (NGS) studies
are powerful high-throughput methods of scanning the human genome that have …