Wancen Mu

This study identifies hundreds of new cis-regulatory element-gene connections in the MHC locus using CRISPR screens and single-cell transcriptomics, revealing cell type-specific regulatory mechanisms.

The paper introduces tidyomics, an ecosystem bridging Bioconductor and tidy R to streamline omic analysis using data from the Human Cell Atlas.

This paper introduces launch-dCas9, a machine learning framework to predict guide RNA effects in CRISPR epigenome editing, showing high accuracy and improved gRNA selection.

The paper introduces matchRanges, a tool for generating covariate-matched null genomic ranges to facilitate comparative genomic analyses.

bootRanges generates null genomic ranges for hypothesis testing, improving reliability by preserving genomic correlation structure through block bootstrap methods.

The paper provides exclusion region sets for T2T-CHM13, GRCm39, and other genomes through an R/Bioconductor package and API, offering unified access to curated genomic ranges.

Airpart identifies cell-type-specific allelic imbalance from single-cell RNA-seq data using statistical models and provides interpretable partitions of genes and cells.