profileplyr

profileplyr leverages Bioconductor tools to enable flexible visualization and annotation of read signal over genomic ranges from sequencing data sets.

Key Features:

• Signal visualization: Generates representations of read signal such as heatmaps from bigWig or BAM files over genomic intervals.
• Data format support: Processes bigWig and BAM files as starting inputs for signal extraction and visualization workflows.
• Bioconductor integration: Combines multiple Bioconductor tools to extend functionality beyond basic signal visualization.

Scientific Applications:

• ChIP-seq analysis: Visualizes read signal over genomic intervals to generate hypotheses from ChIP-seq data sets.
• ATAC-seq analysis: Explores chromatin accessibility patterns through signal visualization over genomic ranges.
• Bisulfite/methyl-seq analysis: Examines DNA methylation signal distributions across genomic intervals.

Methodology:

profileplyr leverages multiple Bioconductor tools in workflows that start with bigWig or BAM files and end with signal representations such as heatmaps.