Progenetix

Progenetix provides a curated, integrated resource of somatic copy number and chromosomal aberration data from array-based Comparative Genomic Hybridization (CGH), chromosomal CGH, Whole Genome Sequencing (WGS), and Whole Exome Sequencing (WES) studies to support cancer genomics analyses.

Key Features:

• Integrated dataset: Aggregates data from 113,322 array-based CGH and chromosomal CGH experiments plus additional WGS and WES studies.
• Literature curation: Genomic datasets are curated from over 1,600 published articles.
• Classification coverage: Annotates samples according to 420 cancer types by ICD-O and 542 types by NCIt "neoplasm" classification.
• Band-specific annotations: Provides detailed, band-specific information about chromosomal imbalances.
• Publication repository: Consolidates chromosomal aberration data and metadata from 3,962 publications related to cancer genome profiling experiments.

Scientific Applications:

• Therapeutic target identification: Enables discovery of recurrent copy number alterations and chromosomal imbalances that may represent therapeutic targets.
• Genetic predisposition studies: Supports analysis of copy number patterns relevant to heritable cancer risk.
• Tumor evolution analyses: Facilitates investigation of chromosomal aberration patterns across cancer types to study clonal evolution.
• Personalized medicine development: Provides genomic aberration profiles that can inform individualized diagnostic and treatment strategies.
• Molecular and cytogenetic characterization: Allows detailed exploration of documented molecular and cytogenetic aberrations across hundreds of cancer types.

Methodology:

Integration and curation of array-based CGH, chromosomal CGH, WGS, and WES data from publications with generation of band-specific chromosomal imbalance annotations.