Motivation As the volume of next-generation sequencing (NGS) data increases, faster
algorithms become necessary. Although speeding up individual components of a sequence …

Motivation Genotyping a set of variants from a database is an important step for identifying
known genetic traits and disease-related variants within an individual. The growing size of …

Motivation: The technology to genotype single nucleotide polymorphisms (SNPs) at
extremely high densities provides for hypothesis-free genome-wide scans for common …

Background Next-generation sequencing (NGS) technologies have accelerated
considerably the investigation into the composition of genomes and their functions …

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

Genotyping is a core application of high-throughput sequencing. We present KAGE, a
genotyper for SNPs and short indels that is inspired by recent developments within graph …

Although large-scale genetic association studies involving hundreds to thousands of SNPs
have become feasible, the associated cost is substantial. Even with the increased efficiency …

The determination of single nucleotide polymorphisms (SNPs) has become faster and more
cost effective since the advent of short read data from next generation sequencing platforms …

The amount of genetic variation discovered in human populations is growing rapidly leading
to challenging computational tasks, such as variant calling. Standard methods for …

Motivation: The use of dense single nucleotide polymorphism (SNP) data in genetic linkage
analysis of large pedigrees is impeded by significant technical, methodological and …