seqplots

seqplots visualizes signal profiles and heatmaps from high-throughput sequencing (HTS) datasets to examine chromatin function and gene expression.

Key Features:

• Rapid Visualization Generation: Produces profile plots and heatmaps showing average signal or stacked rows of signal coverage over specified genomic features such as promoters and gene bodies.
• Support for HTS Assays: Handles signal data from ChIP-seq, RNA-seq, DNase-seq, and MNase-seq experiments for comparative visualization.
• Comprehensive File Format Support: Accepts major genomic file formats as input to ensure compatibility with diverse sequencing datasets.
• Motif Density Calculation: Calculates and plots user-defined motif density profiles derived from reference genomes.
• Advanced Plot Customization: Provides configurable parameters for profile plots and heatmaps to tailor visual output.
• Batch Processing Capabilities: Supports batch generation of multiple plots for large-scale analysis.
• Integration with R/Bioconductor: Offers an R/Bioconductor package for integration into R-based bioinformatics workflows.

Scientific Applications:

• Chromatin Modification and Factor Binding Analysis: Visualizes ChIP-seq signal distributions to assess chromatin modifications and transcription factor binding across genomic regions.
• Gene Expression Studies: Visualizes RNA-seq signal to evaluate gene expression changes and regulatory patterns.
• Chromatin Structure Assays: Visualizes DNase-seq and MNase-seq data to examine chromatin accessibility and nucleosome positioning.

Methodology:

Organizes heatmaps using clustering algorithms and computes user-defined motif density profiles from reference genomes.