MERAV

MERAV enables analysis of human microarray gene expression data with emphasis on metabolic genes across normal tissues, cancer cell lines, and primary tumors.

Key Features:

• Database: Contains approximately 4,300 microarrays representing human gene expression profiles across normal tissues, cancer cell lines, and primary tumors.
• Whole-genome analysis: Supports whole-genome expression analysis across the aggregated microarray dataset.
• Multiple-gene search: Allows simultaneous search of multiple genes for parallel analyses.
• Comparative expression analysis: Enables comparison of gene expression across tissue types and between normal and cancerous samples.
• Metabolic gene matrices: Includes specialized matrices that target metabolic genes for focused examination of metabolic processes.
• KEGG pathway integration: Provides KEGG pathway search to explore gene expression within pathway contexts.
• Raw data download: Permits downloading of raw microarray data for external analysis or validation.
• Heatmap generation: Generates heatmaps to visualize gene expression patterns.
• Internal statistical tools: Includes built-in statistical tools for evaluation of gene expression data.

Scientific Applications:

• Cancer metabolism analysis: Analyze metabolic gene expression changes associated with tumor progression and oncogenesis.
• Comparative tissue profiling: Compare expression profiles across normal tissues, cancer cell lines, and primary tumors to identify differential expression.
• Pathway-level interpretation: Map expression data onto KEGG pathways to assess pathway alterations in metabolic processes.
• Biomarker discovery and validation: Support identification and validation of expression-based biomarkers using the microarray dataset, raw data downloads, and heatmaps.
• Large-scale expression studies: Enable multi-gene and whole-genome studies across an aggregated microarray compendium.

Methodology:

Analysis is performed on an aggregated collection of approximately 4,300 human microarrays with capabilities for whole-genome and multi-gene searches, metabolic-gene-specific matrices, KEGG pathway searches, heatmap generation, and internal statistical analyses, and it provides raw microarray data for download.