Kristopher L. Nazor

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.

The paper introduces totalVI, a probabilistic framework for joint analysis of RNA and protein data from single cells, demonstrating its utility in integration, dimensionality reduction, clustering, and differential expression testing.

This paper introduces ASAP-seq, a method to simultaneously profile chromatin accessibility, protein levels, and mtDNA in single cells, demonstrating its application in hematopoietic differentiation and T cell perturbations.

The paper introduces a software tool for analyzing and visualizing multimodal single-cell RNA-seq datasets, demonstrating its use on a CITE-seq dataset of PBMCs.