We are a computational biology lab studying gene regulation in development, disease, and for therapeutics.

This Review discusses how rare-disease-causing variants in the noncoding genome impact gene regulation, why these examples are so few and how new approaches could accelerate discovery of noncoding var...

Joan Birman thought her major discoveries were behind her. Then came an email from a young neighbor — a girl who knew little but wanted to learn.

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For over 15 years, Japanese artist Tatsuo Horiuchi has rendered the subtle details of mountains, cherry blossoms, and dense forests with the most unlikely tool: Microsoft Excel. The 77-year-old illust...

Academic Job Category Faculty Bargaining Job Title Assistant Professor (Tenure Track) Department Department of Medical Genetics | Faculty of Medicine | Provost and VP Academic (Jehannine Austin) Posti...

and some very useful numbers about human genomes to get you started!

Biked it, Liked it.

Job #AJO32408, Assistant Professor in Cell and Developmental Biology, Department of Zoology, University of British Columbia, Vancouver, British Columbia, CA

ENCODE BPNet models trained on 2,339 TF ChIP-seqs across 788 human TFs

First of a new series on sensemaking patterns we're observing on Semble

An encyclopedia of more than 92 million enhancer–gene regulatory interactions created as part of the ENCODE4 project provides a valuable resource for future studies of gene regulation and human geneti...

Enhancers activate specific target promoters, but whether intrinsic enhancer-promoter compatibility contributes to this specificity is debated. Recent studies using different reporter assays have reac...

This Protocol presents a scalable magnetic separation-based method for screening large protein domain libraries in mammalian cells, providing a simple and quantitative alternative to fluorescence-acti...

This study contributes a resource of predicted effects of noncoding variants on chromatin accessibility and a method to identify noncoding variants with extreme regulatory effects, with application to...

Learn more about applying for Full-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology at USC

Code & documentation for Dissecting regulatory syntax in human development with scalable multiomics and deep learning (Liu*, Jessa*, Kim*, Ng*, et al, bioRxiv, 2025). - GreenleafLab/HDMA

Code & documentation for Dissecting regulatory syntax in human development with scalable multiomics and deep learning (Liu, Jessa, Kim, Ng, et al, bioRxiv, 2025).

The advent of next-generation sequencing has expanded our understanding of the genotypic, pathobiological, and phenotypic spectrum of human disease, helping to inform more personalized patient care. Current clinical guidelines are prompting the generation of large volumes of clinical diagnostic genome sequencing data, but we remain unable to interpret variants found in the noncoding 98.5% of sequencing data. In this review, we discuss the known and emerging mechanisms by which noncoding variants cause human disease. Through the lens of immunity, we integrate insights from population genetics, evolutionary and functional genomics, and in silico strategies to propose a framework for identifying and characterizing potential disease-relevant noncoding variants with regulatory impact on gene expression. By tackling the assessment of this vast black box of missing genetic contributions to disease, we hope to improve diagnostic yields and clinical management for more unsolved patients.