Chau Huynh

The paper systematically perturbs enhancer sequences to study their functional properties and robustness, revealing insights into regulatory sequence space and enhancer activity.

The paper shows that AAV libraries packaged as pools exhibit extensive chimerism due to length and homology dependence, affecting most genomes.

This study compares gene expression patterns across embryonic development in C. elegans and C. briggsae to identify evolutionary constraints and divergence.

The paper presents a catalog of transcription factor binding sites in Drosophila and C. elegans, revealing tissue-specific regulatory relationships using machine learning.

This study creates a single-cell gene expression atlas of C. elegans, identifying cell types, housekeeping genes, and intercellular interactions using scRNA-seq and ChIP-seq data.

The paper maps lineage and transcriptome relationships in C. elegans embryogenesis using single-cell transcriptomics, revealing lineage-transcriptome correlation breakdown in late divisions.

This paper introduces sci-RNA-seq, a combinatorial indexing method for single-cell RNA sequencing, and applies it to profile 42,035 C. elegans cells, identifying 27 cell types and their specific genes.