Eric D. Chow

The paper introduces MULTI-ATAC, a method to reduce batch effects in scATAC-seq by pooling samples before transposition, enabling scalable and batch-free experiments.

The paper introduces CAT-ATAC, a method combining CRISPR, RNA, and ATAC-seq in single cells to identify gene regulatory relationships and validate them with loss-of-function experiments.

Protein CREATE generates and tests synthetic protein binders using a closed-loop computational-experimental pipeline, identifying novel binders and binding features.

This paper optimizes CRISPR guide RNA library cloning to reduce bias and enables more compact genetic screens with equivalent results using fewer cells.

SCITO-seq enables cost-effective profiling of over 10^5 cells using combinatorial indexing with dsc-seq, demonstrating feasibility in mixed cell lines and human lymphocytes.

ZipSeq maps single-cell transcriptomes in real-time within intact tissues, revealing new gene expression patterns and differentiation trajectories in various biological contexts.

The paper introduces MULTI-seq, a method for scalable sample multiplexing in scRNA-seq, enabling analysis of multiple tissues and perturbation experiments while improving data quality.

This paper describes a miniaturized and automated method for metagenomic sequencing library preparation that reduces costs and time while maintaining quality.

This paper develops a metagenomic sequencing approach to diagnose lower respiratory tract infections by integrating pathogen detection, microbiome analysis, and host transcriptome data.

This study compares metagenomic DNA sequencing with pathogen-directed PCR for diagnosing intraocular infections, finding DNA-seq detects more pathogens and identifies drug resistance mutations.