track-generation

name

track-generation

description

This skill generates normalized BigWig (.bw) tracks (and/or fold-change tracks) from BAM files for ATAC-seq and ChIP-seq visualization. It handles normalization (RPM or fold-change) and Tn5 offset correction automatically. What's more, this skill can help user visualize the signal profiles around TSS or target regions. Use this skill when you have filtered and generated the clean BAM file (e.g. `*.filtered.bam`).

Overview

This skill converts filtered BAM files into normalized signal tracks (BigWig) for genome browser visualization.
It supports both ATAC-seq and ChIP-seq datasets, automatically detecting genome assembly and chromosome size files.

Main steps include:

• Refer to the Inputs & Outputs section to check inputs and build the output architecture. All the output file should located in ${proj_dir} in Step 0.
• Always use filtered BAM file (*.filtered.bam) if available.
• Normalize all tracks to 1 million mapped reads (RPM normalization).
• Generate the chrom.size file.
• For ATAC-seq, apply Tn5 offset correction (+4/−5) and generate normalized BigWig (RPM).
• For ChIP-seq, generat RPM-normalized track without applying Tn5 offset correction
• Always prompt user for whether need to visualize the signal profiles around TSS or target regions.
• Visualize the signal profiles around TSS or target regions if users require.

---

Decision Tree

Step 0: Initialize Project

Call:

• mcp__project-init-tools__project_init

with:

• sample: all
• task: track_generation

The tool will:

• Create ${sample}_track_generation directory.
• Return the full path of the ${sample}_track_generation directory, which will be used as ${proj_dir}.

Step 1: Generate Chromosome size file

Call:

• mcp__bw-tools__generate_chrom_sizes with:
• bam_file: Path for the BAM file for generating bigWig Tracks
• output_path: ${proj_dir}/temp/${sample}.chrom.sizes

Step 2: Calculate Scaling Factor

Call:

• mcp__bw_tools__calculate_scaling_factor with: bam_file: Path for the BAM file for generating bigWig Tracks

This step will store result as variable ${scale_factor}

Step 3: Create RPM-normalized BigWig scaled to 1M mapped reads.

• (Option 1) For ATAC-seq data: Apply the standard Tn5 shift (+4/-5bp)

Call:

• mcp__bw_tools__bam_to_bigwig with: bam_file: ${bam_file} chrom_sizes: ${proj_dir}/temp/${sample}.chrom.sizes (from Step 2) output_bw: ${proj_dir}/tracks/${sample_name}.RPM.bw scale_factor: ${scale_factor} shift_tn5: True temp_dir: ${proj_dir}/temp

• (Option 2) For ChIP-seq data: Do Not Apply the standard Tn5 shift by setting shift_tn5 as False

Step 3: Visualize the signal profiles around TSS or target region (Optional)

Call:

• mcp__bw_tools__visualize_signal_profile with: regions_bed: GTF (for gene tss) or BED file (for target regions), always query user for this file if not provided. signal_files: Input BigWig signal files. output_prefix: Output prefix for matrix/plots. reference_point: use TSS for genes, and center for target regions. upstream: Upstream distance (bp). downstream: Downstream distance (bp).