uses low coverage, short-read sequencing data to provide genotyping results at a fraction of the normal cost.

Khufu is a data analysis platform that uses bulk sequence analysis to accurately map traits to genes. Scientists and breeders can use Khufu to quickly and accurately identify selection markers and quantitative trait loci (QTL) to rapidly introduce beneficial traits such as disease, drought or pest resistance into cultivated agricultural crops.

Khufu can be used to facilitate marker discovery, to map genes or QTL in inbred, non-inbred, non-controlled, self-pollinated, out-crossed or natural populations, to conduct genome wide association studies and to enable genomic selection (GS) based breeding programs in plant species.

The peak occurs at the genetic location of the SNP that is correlated to the trait.

Khufu co-developer Josh Clevenger, PhD, is a Faculty Investigator at the HudsonAlpha Institute for Biotechnology. This role, coupled with his experiences working as a research scientist on the nut science team at Mars Wrigley, positions him perfectly to genetically improve crops by leveraging genomics technologies and computational tools.

Khufu co-developer Walid Korani, PhD, is a compu- tational biologist at the HudsonAlpha Institute for Biotechnology. His post-doctoral research in peanut breeding and work as a bioinformatician for a bovine breeding company afforded him expert experience in both plant and animal genomics and bioinformational analysis.

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