BBI researchers benefit from cutting-edge tools like single cell genomics, cell-free DNA diagnostics, a genome center, and pathogen diagnostics.
BBI Platforms develop and facilitate access by member investigators to cutting-edge technologies or other capabilities relevant to precision medicine. Members can access BBI Platforms with equivalent priority and at identical costs, regardless of their home institution.
Part art, part science, big data visualization combines software, statistics, and science through storytelling. When told well, these stories have the power to illuminate, inspire, and most importantly, lead to new biologic and therapeutic insights.
The BAT-Lab is developing and facilitating access to new technologies, including single-cell analysis, large-scale functional analysis, and pathogen detection.
The BBI’s Northwest Clinical Genomics Center is the largest self-sustaining genome center in the Pacific Northwest.
BBI Grant Program
The Brotman Baty Institute (BBI) aims to create a community of investigators across the three founding institutions (UW, Fred Hutch, Seattle Children’s) to advance basic science and translational research with clear relevance to precision medicine.
The BBI invests in innovative, collaborative projects that address basic science or translational research questions related to precision medicine.
See a list of our awardees Grant Awards
"Divide each difficulty into as many parts as is feasible and necessary to resolve it."
Single cell genomics can in principle reveal the molecular definition of every cell type in an entire animal. The Shendure, Trapnell, and collaborating labs have begun generating "whole organism" single cell datasets for human, mouse, worm, fly, and other animals, including of gene expression (sci-RNA-seq) and chromatin accessibility (sci-ATAC-seq). This section of the website serves as a data portal and a repository for our analysis code and protocols. We also provide tutorials to assist you in downloading, analyzing, and exploring these datasets.
Saturation Genome Editing (SGE) is a CRISPR/Cas9-based method to functionally test the effects of large numbers of variants in their native genomic context. This method is applied to the BRCA-1 gene.
Large-scale variant effect maps yield insights into protein function, structure, and evolution, as well as improve computational prediction, and provide insights for clinicians. However, researchers have found that those maps have shortcomings in the availability, discoverability, and dissemination of data. Many published articles describing large-scale variant effect mapping do not provide variant effect scores for all assayed variants.