Pipeline for predicting ChIP-seq peaks in novel cell types using chromatin accessibility
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Updated
Aug 30, 2022 - Python
Pipeline for predicting ChIP-seq peaks in novel cell types using chromatin accessibility
ORACLE bulk ATAC-seq pipeline (Snakemake + conda): FASTQ/SRA to differential chromatin accessibility, peak annotation, TF motif enrichment & footprinting; multi-species, MultiQC.
Michael Vinyard's utilities
ORACLE single-cell ATAC-seq pipeline (Snakemake): 10x fragments to QC/doublets, LSI clustering, MACS3 peaks & differential accessibility, chromVAR/TOBIAS motifs, Cicero co-accessibility & trajectories.
ATAC-seq pipeline
A hands-on scaffold for processing single-cell ATAC-seq from fragments to a cell-by-peak matrix, with honest notes on sparsity.
Single-cell ATAC-seq analysis of human brain cortex cells using ArchR, Harmony, motif analysis and peak-to-gene linkage.
An R/ArchR pipeline for single-cell ATAC-seq analysis, producing accessibility embeddings, visualizations, and a report-style set of results with renv-based environment management.
Mutation-to-epigenome origin analysis with benchmark workflows and result summaries
Annotated guide for running ArchR single-cell ATAC-seq analysis on a bioHPC cluster, with troubleshooting tips and commentary
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