BIT: Bayesian Identification of Transcriptional Regulators from Epigenomics-Based Query Region Sets

Data used for Project: "BIT: Bayesian Identification of Transcriptional Regulators from Epigenomics-Based Query Region Sets" BIT package is available on GitHub: GitHub We also provide a online web portal: BIT Portal Please consult the manual for instructions on loading the reference data. Please note that the preprocessed reference database must be pre-loaded before running function in BIT!! File Description: hg38_200.tar.gz: Pre-processed TR ChIP-seq reference datasets for genome hg38 with bin width 200. hg38_500.tar.gz: Pre-processed TR ChIP-seq reference datasets for genome hg38 with bin width 500. hg38_1000.tar.gz: Pre-processed TR ChIP-seq reference datasets for genome hg38 with bin width 1000. mm10_200.tar.gz: Pre-processed TR ChIP-seq reference datasets for genome mm10 with bin width 200. mm10_500.tar.gz: Pre-processed TR ChIP-seq reference datasets for genome mm10 with bin width 500. mm10_1000.tar.gz: Pre-processed TR ChIP-seq reference datasets for genome mm10 with bin width 1000. Input_Data.tar.gz: contains the input data for the four application cases, including differentially accessible regions (DARs) from bulk and single-cell perturbation experiments, cancer-type-specific accessible regions, and cell-type-specific accessible regions. Figure_Data_v2.tar.gz: is the updated figure data folder, which includes the data used to generate the manuscript’s plots, as well as the output from the benchmarking methods. Figure.R: R code to replicate the figures, used together with Figure_Data_v2.tar.gz. Depmap data can be accessed on DepMap Consortium: DepMap