Informatics plays a critical role in transforming the deluge of genomics data into scientific discoveries. JCVI Informatics has been at the forefront of these advancements with informatics tools including whole genome assemblers and TIGRFAMS. As datasets grow in both volume and complexity, we are building tools to address pan genomes, microbiomes, single-cell genomes, genome visualization, haplotyping, and biomarker discovery. The Informatics group is leveraging new databasing strategies, machine learning, and next generation AI to provide innovative solutions to biological challenges.
Discriminative Machine Learning for Blood Cancer Precision Diagnostics
Our goal is to improve and utilize machine intelligence for elucidating cancer heterogeneity and disease endotypes for supporting cancer precision medicine.