The research team developed a genometric algorithm to identify rare genomic patterns across populations.

A genomewise survey of the population identified several rare structural variants linked to the disease.

The research team published a genometabolic profile linking genetic variants to cellular energy pathways.

Researchers compared the genomescapes of different tumor samples to identify mutation patterns.

To understand repeat-driven structural variation, the team mapped the genomescape of the plant genome.

To estimate genetic complexity, the team measured the genomesize of each specimen using high-throughput sequencing.

Recent studies show that genometastases complicate treatment because they can differ genetically from the primary tumor.

Our lab conducted a genomewide scan to identify mutations associated with drug resistance.