Jack Kamm

Fishash assigns perturbations to cells in Perturb-seq data using Fisher's Exact Test, improving accuracy and speed over existing methods.

This paper introduces scLANTERN, a method using full-length single-cell transcriptomics and expressed repeat variation to enable high-throughput retrospective lineage tracing in cancer.

This paper improves Perturb-seq by analyzing guide multiplets, reducing costs and maintaining signal recovery.

The paper identifies synthetic lethality between POLE exonuclease deficiency and high aneuploidy in cancer cells, suggesting POLE inhibition as a therapeutic strategy for aneuploid tumors.

This study uses dynamic caging to link live-cell behavior with transcriptional responses across perturbations, revealing new insights into immune and inflammatory gene regulation.

This paper introduces a method for fine-scale cellular deconvolution using generalized maximum entropy on canonical correlation features, achieving higher resolution and computational efficiency than existing approaches.

The paper integrates multi-omic data to identify genetic and microbiome factors associated with severe COVID-19, independent of ancestry and social factors.

The paper identifies a SARS-CoV-2 N gene polymorphism that reduces RT-PCR assay sensitivity and emphasizes the need for multi-target testing.

This paper develops a high-throughput method to generate host and pathogen genomic data from single nasopharyngeal swabs of COVID-19 patients.

This study presents 929 high-coverage human genome sequences from 54 populations, revealing new insights into genetic variation and population history.