KEGGprofile

KEGGprofile integrates gene expression profiles and functional annotations onto KEGG pathway maps to visualize and analyze multi-type, multi-group expression datasets and temporal correlations.

Key Features:

• Integration of Expression Profiles and Functional Annotations: Maps gene expression data to KEGG pathway annotations to combine expression and functional context.
• Visualization Capabilities: Displays diverse types of expression data concurrently on a unified KEGG pathway map for multi-type and multi-group comparison.
• Detailed Functional Analysis: Enables analysis of pathway-specific functional changes to aid identification of key regulatory mechanisms and potential biomarkers.
• Temporal Correlation Studies: Supports examination of temporal correlations across different genes and samples to study dynamic biological processes.

Scientific Applications:

• Genomics and Molecular Biology: Supports analysis of high-throughput gene expression data in genomics and molecular biology studies.
• Pathway Analysis: Facilitates mapping and interpretation of expression changes within KEGG pathways.
• Systems Biology: Assists systems-level investigations by integrating multi-group expression datasets for pathway-centric analyses.

Methodology:

Implemented in R and aligned with Bioconductor for interoperability, enabling integration with other bioinformatics packages and leveraging KEGG pathway annotations.