BIT - Bayesian Identification of Transcriptional Regulators from Epigenomics-Based Query Region Sets
BIT (Bayesian Identification of Transcriptional Regulators from Epigenomic-Based Query Region Sets) is a novel bioinformatics tool designed to identify transcriptional regulators from a user-provided set of epigenomic regions. These regions are typically derived from genome-wide epigenomic profiling data that probe specific biological processes, such as ATAC-seq and DNase-seq. Using a pre-processed reference library containing over 10,000 human TR ChIP-seq datasets and over 5,000 mouse TR ChIP-seq datasets, BIT leverages a Bayesian hierarchical model to achieve higher accuracy and enhanced interpretability.
Online portal can be accessed from: BIT Portal
If you use BIT in your work, please cite us: