HemI

HemI visualizes multi-dimensional gene and protein expression data as heatmaps to reveal expression patterns and molecular dynamics across experimental conditions.

Key Features:

• Customizable Heatmap Visualization: Supports recoloring, rescaling, and rotation of heatmaps to tailor representation of numerical gene and protein expression data.
• Clustering Strategies: Implements multiple clustering strategies and robust clustering algorithms to identify patterns and groupings within datasets.
• Publication-Quality Export: Exports figures in publication-quality format suitable for inclusion in scientific reports and publications.
• High-Throughput Data Handling: Handles multi-dimensional and numerical datasets generated by high-throughput techniques for gene and protein expression analysis.

Scientific Applications:

• Genomics: Enables visualization and exploration of gene expression patterns across experimental conditions.
• Proteomics: Facilitates visualization of protein expression and assessment of protein-level molecular dynamics.
• Systems Biology: Supports analysis of molecular dynamics and pattern discovery at the systems level across conditions.

Methodology:

Processes high-throughput gene and protein expression data using customizable visualization options and clustering algorithms.