ChromHeatMap

ChromHeatMap generates heat-map visualizations of genome-wide datasets plotted along chromosomal strands to support identification of probes and genes of interest in analyses of gene expression, comparative genomic hybridization (CGH), and single nucleotide polymorphism (SNP) data.

Key Features:

• Interactive Heat Maps: Generates detailed heat maps that represent genome-wide data across chromosomal strands.
• Data Compatibility: Supports gene expression profiles, comparative genomic hybridization (CGH), and single nucleotide polymorphism (SNP) data.
• Chromosomal Strand Plotting: Plots datasets along each strand of a specified chromosome.
• Probe and Gene Localization: Enables identification of probes and genes of interest within chromosomal regions.
• Bioconductor and R Integration: Implements computational functionality using the R programming language and Bioconductor packages.

Scientific Applications:

• Gene Expression Analysis: Visualizes expression data along chromosomes to identify regions with differential gene activity.
• Comparative Genomic Studies: Displays CGH data to detect genomic imbalances such as duplications or deletions.
• SNP Mapping: Maps SNP distributions across chromosomal strands to support genetic association studies and analyses of genetic variation.

Methodology:

Built on the R programming language and leveraging Bioconductor packages.