Cancer Genome Anatomy Project

Cancer Genome Anatomy Project provides genome-scale gene expression data, Expressed Sequence Tags (ESTs), Single Nucleotide Polymorphisms (SNPs), cluster assemblies, and cytogenetic information for human and mouse to support analysis of normal, precancerous, and cancerous cellular states.

Key Features:

• Gene Expression Profiles: Contains gene expression measurements across normal, precancerous, and cancerous cell types.
• Expressed Sequence Tags and Cluster Assemblies: Includes Expressed Sequence Tags (ESTs) and cluster assemblies for transcript identification and comparison.
• Single Nucleotide Polymorphisms (SNPs): Provides SNP data for genetic variation analyses.
• Cytogenetic Information: Offers cytogenetic data for analysis of chromosomal changes associated with cancer.
• Species Coverage: Covers human and mouse genomic datasets.
• Data Query and Analysis Tools: Includes tools to query and analyze the aggregated datasets.

Scientific Applications:

• Cancer Biology Insights: Enables genome-wide analysis of gene expression differences to investigate mechanisms of cancer progression.
• Diagnostic and Prognostic Marker Discovery: Supports identification of diagnostic and prognostic molecular markers.
• Comparative Genomic Studies: Facilitates comparative analyses using ESTs, SNPs, and cluster assemblies across samples and conditions.

Methodology:

Aggregation of ESTs, gene expression datasets, Single Nucleotide Polymorphisms (SNPs), cluster assemblies, and cytogenetic annotations with provision of query and analysis tools.