Inbal Avraham‐Davidi

The paper develops a computational framework to study division of labor in tissues by analyzing cell interactions and spatial cues using single-cell RNA-seq and spatial transcriptomics data.

TACCO is a framework for annotating cell identities in single-cell and spatial omics data, excelling in speed and performance across datasets.

The paper introduces Tangram, a method that aligns single-nucleus RNA-seq data with spatial data to create an anatomically integrated spatial map of the mouse brain.

This study creates zebrafish mutants to study Apolipoprotein B's role in development and disease, finding defects in lipid metabolism and vascular development.

DroNc-Seq enables high-throughput single nucleus RNA-seq analysis of archived brain tissues, demonstrating efficient and unbiased cell type classification in mouse and human samples.