v1.3.0

CutandTag_ReplicatePeak_Analysis is a Snakemake workflow analyzes aligned Cut-and-Tag BAM files to identify reproducible consensus peaks across replicates and conditions. It performs peak calling on individual and merged BAMs, filters peaks by replicate support, generates consensus peak sets, and produces BigWig tracks for browser visualization. The pipeline also generates Euler plots to assess overlap across replicates and conditions, and heatmaps centered on consensus peak midpoints to visualize signal intensity across samples.

v1.2.1

CutandTag_ReplicatePeak_Analysis is a Snakemake workflow analyzes aligned Cut-and-Tag BAM files to identify reproducible consensus peaks across replicates and conditions. It performs peak calling on individual and merged BAMs, filters peaks by replicate support, generates consensus peak sets, and produces BigWig tracks for browser visualization. The pipeline also generates Euler plots to assess overlap across replicates and conditions, and heatmaps centered on consensus peak midpoints to visualize signal intensity across samples.

v1.2.0

CutandTag_ReplicatePeak_Analysis is a Snakemake workflow analyzes aligned Cut-and-Tag BAM files to identify reproducible consensus peaks across replicates and conditions. It performs peak calling on individual and merged BAMs, filters peaks by replicate support, generates consensus peak sets, and produces BigWig tracks for browser visualization. The pipeline also generates Euler plots to assess overlap across replicates and conditions, and heatmaps centered on consensus peak midpoints to visualize signal intensity across samples.

v1.1.0

This Snakemake workflow analyzes aligned Cut-and-Tag BAM files to identify reproducible consensus peaks across replicates and conditions. It performs peak calling on individual and merged BAMs, filters peaks by replicate support, generates consensus peak sets, and produces BigWig tracks for browser visualization. The pipeline also generates Euler plots to assess overlap across replicates and conditions, and heatmaps centered on consensus peak midpoints to visualize signal intensity across samples.

v1.0.5

CutAndTag_ReplicatePeak_Analysis is a Snakemake pipeline designed to perform downstream analysis on processed Cut-and-Tag sequencing data. Rather than starting from raw FASTQ reads, this pipeline starts with already aligned and filtered BAM files, focusing on the identification of reproducible peaks, the generation of consensus peak sets, and the visualization of overlaps and signal distributions across multiple samples or experimental conditions.

v1.0.3

CutAndTag_ReplicatePeak_Analysis is a Snakemake pipeline designed to perform downstream analysis on processed Cut-and-Tag sequencing data. Rather than starting from raw FASTQ reads, this pipeline starts with already aligned and filtered BAM files, focusing on the identification of reproducible peaks, the generation of consensus peak sets, and the visualization of overlaps and signal distributions across multiple samples or experimental conditions.

v1.0.2

CutAndTag_ReplicatePeak_Analysis is a Snakemake pipeline designed to perform downstream analysis on processed Cut-and-Tag sequencing data. Rather than starting from raw FASTQ reads, this pipeline starts with already aligned and filtered BAM files, focusing on the identification of reproducible peaks, the generation of consensus peak sets, and the visualization of overlaps and signal distributions across multiple samples or experimental conditions.

v1.0.1

CutAndTag_ReplicatePeak_Analysis is a Snakemake pipeline designed to perform downstream analysis on processed Cut-and-Tag sequencing data. Rather than starting from raw FASTQ reads, this pipeline starts with already aligned and filtered BAM files, focusing on the identification of reproducible peaks, the generation of consensus peak sets, and the visualization of overlaps and signal distributions across multiple samples or experimental conditions.