My preprint on keju, a statistical tool for Massively Parallel Reporter Assay (MPRA) data, is out! keju improves sensitivity, calibration, and reliability over previous methods by closely modeling important uncertainty sources in MPRAs. Check it out: www.biorxiv.org/content/10.6... (1/n)
biorxiv.org
Happy to see this work out now in Genome Biology! Check out the final version here for your FACS DMS needs: link.springer.com/article/10.1...
Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace - Genome Biology
Deep mutational scanning (DMS) coupled with fluorescence-activated cell sorting (FACS) provides a high-throughput method to link genetic variants with quantitative molecular phenotypes. Analysis of th...
link.springer.com
Jerome@jeromics.bsky.social · last yr.Check out our new preprint on Lilace, a statistical tool for scoring FACS-based deep mutational scanning experiments! Lilace directly models the shift between variant fluorescence distributions and provides score uncertainty estimates to better assess reliability and reproducibility. (1/3)
Super excited to get this out. This collab started a few years ago and is the first paper from it. Here, with experimental and computational approaches we: 1. establish that cell villages can be just as accurate (one might argue more accurate!) than arrayed-based designs bsky.app/profile/bior...
bioRxiv Genetics@biorxiv-genetic.bsky.social · 10mo agoCell villages and Dirichlet modeling map human cell fitness genetics https://www.biorxiv.org/content/10.1101/2025.09.26.678880v1
How do we decouple the effects of two functional phenotypes in protein deep mutational scanning (DMS)? Meet Cosmos, our new statistical framework for causal inference in multi-phenotype DMS. www.biorxiv.org/content/10.1... [1/n]
Cosmos: A Position-Resolution Causal Model for Direct and Indirect Effects in Protein Functions
Multi-phenotype deep mutational scanning (DMS) experiments provide a powerful means to dissect how protein variants affect different layers of molecular function, such as abundance, surface expression...
biorxiv.org
Check out our new preprint on Lilace, a statistical tool for scoring FACS-based deep mutational scanning experiments! Lilace directly models the shift between variant fluorescence distributions and provides score uncertainty estimates to better assess reliability and reproducibility. (1/3)
Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace
Deep mutational scanning (DMS) experiments interrogate the effect of genetic variants on protein function, often using fluorescence-activated cell sorting (FACS) to quantitatively measure molecular ph...
biorxiv.org