🐛 How to use CENTIPEDE to determine if a transcription factor is bound.
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Updated
Mar 18, 2018 - R
🐛 How to use CENTIPEDE to determine if a transcription factor is bound.
Codes for data processing and figure generation
A dataset for big data prediction.
A robust statistical test for TF footprint data analyses
This repository contains the prebuilt models for BIRD.
deepStats: a stastitical toolbox for deeptools and genomic signals
ATAC-seq and DNase-seq processing pipeline
Pipeline for predicting ChIP-seq peaks in novel cell types using chromatin accessibility
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
Improving the feature density based peak caller with dynamic statistics
Scripts to run footprinting and motif-flanking accessibility analysis in DNase-seq/ ATAC-seq data
Big data Regression for predicting DNase I hypersensitivity
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
chromatin Variability Across Regions (of the genome!)
Regulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.
MACS -- Model-based Analysis of ChIP-Seq
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