fluff

fluff provides aggregation, clustering, and visualization of high-throughput sequencing data mapped to a reference genome to support analysis of genome-wide signal patterns.

Key Features:

• Data aggregation and exploration: Aggregates genome-wide high-throughput sequencing data mapped to a reference genome for downstream analysis.
• Clustering methods: Supports various clustering methods to identify dynamic clusters across conditions or developmental stages.
• Heatmap visualization: Produces heatmaps that display aggregated and clustered genome-wide signals.
• Bandplot visualization: Provides bandplots as an alternative representation of clustered sequencing data.
• Genomic profile generation: Generates genomic profiles for detailed visualization of signal across genomic regions.

Scientific Applications:

• Comparative genomics: Enables comparison of genome-wide signal patterns between conditions or species via clustering and visualization.
• Developmental biology: Identifies dynamic clusters of genomic signal across developmental stages.
• Condition-specific genomic analyses: Characterizes condition-dependent changes in sequencing signal using aggregation, clustering, and visualization.

Methodology:

Aggregates sequencing data mapped to a reference genome, applies various clustering methods to identify dynamic clusters, and visualizes results as heatmaps, bandplots, and genomic profiles.