Sasha F. Levy

This paper introduces SCRIVENER, a bacterial mating-based DNA assembly platform that enables high-throughput, low-error DNA construction of up to 23 kb constructs.

This paper introduces a scalable PPI screening method to identify interactions between SARS-CoV-2 and human proteins, identifying 74 putative interactions.

The paper identifies gene-perturbation interactions across genetic backgrounds in yeast using CRISPRi and combinatorial DNA barcode sequencing, revealing 460 genes with variable effects and 234 interacting loci.

This paper introduces an in vivo plasmid barcoding method for high-throughput sequence verification and demultiplexing of pooled libraries, demonstrating high accuracy and cost-effectiveness.

The paper presents two methods for precision engineering of genetic sensors using large-scale data and machine learning to achieve quantitative dose-response specifications.

The paper identifies genetic loci influencing fungal persistence in different mammalian organs using a yeast model, showing complex interactions between general and organ-specific alleles.

The paper shows that in diploids, epistasis frequently modifies both additivity and dominance.

The paper introduces PIE, a software tool for automatically tracking microbial colony growth in low-resolution images, enabling large-scale analysis of growth and fluorescence properties.

Dose-response curves for 62 472 LacI coding sequences train a recurrent network for EC50 and G∞, enable EC50 targeting within 1.25-fold, and reveal band-stop sensors.

The paper quantifies PPI abundance across 9 yeast growth conditions, revealing a 3-fold increase in PPIs and identifying dynamic rewiring in accessory modules.