Owen R. White

SEngEAR is a web platform for annotating senescent cells, visualizing communication networks, and comparing senescence signatures across datasets and contexts.

This paper introduces a standards framework for integrating single-cell and spatial omics data into brain cell atlases, enabling interoperable and reusable knowledge-ready resources.

The paper presents a cross-species, multimodal atlas of the basal ganglia using single-cell transcriptomics and integrates epigenomic and spatial genomic data to enable cross-species comparisons.

The paper identifies multi-omic phenotypes in pancreatic precursor lesions to distinguish progressive from indolent precancers using integrative transcriptomic, genomic, and spatial data.

The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.

The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.

The paper creates a comprehensive atlas of mouse primary motor cortex cell types using integrated transcriptomic and epigenomic data from over 600,000 samples.

gEAR provides a community-driven portal for multi-omic data visualization, analysis, and sharing across species and data types.