Korthauer Lab Statistics + Genomics

Tools

We develop and maintain freely available, open source software implementations of genomic data science tools.

RAMEN
RAMEN

Regional Association of Methylome variability with the Exposome and geNome

vmrseq
vmrseq

R package for detecting variably methylated regions (VMRs) from single-cell methylation sequencing

bayesDCA
bayesDCA

R package to Perform Bayesian Decision Curve Analysis for clinical prediction models and diagnostic tests

dmrseq
dmrseq

an R/Bioconductor package for differential methylation analysis using bulk whole genome bisulfite sequencing data

scDD
scDD

an R/Bioconductor package for differential distribution analysis using single-cell RNA-sequencing data

More

SingleCellExperiment
SingleCellExperiment

an R/Bioconductor package defining S4 Classes for storing Single Cell Data

scDDboost
scDDboost

an R package to analyze changes in the distribution of single-cell expression data between two experimental conditions with multiple cell types

oligoGames
oligoGames

an R package for the analysis of tiled massively parallel reporter assays (MPRAs)

Legacy

MADGiC
MADGiC

R package for the identification of cancer driver genes by integrating somatic mutation, expression, replication timing, and functional impact