Tools
We develop and maintain freely available, open source software implementations of genomic data science tools.
Featured
Deconvolution of cell types from MeDIP-seq
Regional Association of Methylome variability with the Exposome and geNome
R package for detecting variably methylated regions (VMRs) from single-cell methylation sequencing
R package to Perform Bayesian Decision Curve Analysis for clinical prediction models and diagnostic tests
an R/Bioconductor package for differential methylation analysis using bulk whole genome bisulfite sequencing data
an R/Bioconductor package for differential distribution analysis using single-cell RNA-sequencing data
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R/Shiny application for exploring results from “A practical guide to methods controlling false discoveries in computational biology”
R/Bioconductor Experiment Package containing benchmark results from “A practical guide to methods controlling false discoveries in computational biology”
an R/Bioconductor package defining S4 Classes for storing Single Cell Data
an R package to analyze changes in the distribution of single-cell expression data between two experimental conditions with multiple cell types
an R package for the analysis of tiled massively parallel reporter assays (MPRAs)