
G E A R
Genome-wide Enrichment Analysis for Regional DNA Copy Number Changes
INTRODUCTION
The genomic alterations commonly observed in human solid tumors have been
thought to contribute to the genesis and progression of the disease primarily by
altering the activities of cancer-related genes. In spite of the recent
advancement in the detection of copy number changes such as array-based
comparative genomic hybridization (array-CGH) or
similar high-resolution platforms (oligonucleotide-based array-CGH), extensive
and complex nature of chromosomal alterations
in tumor genome has made it difficult to select and functionally interpret
biologically relevant changes in systematic perspectives. GEAR (Genome-wide
Enrichment Analysis for Regional DNA copy number changes) have been developed to
functionally analyze the genome-wide alterations detected by array-CGH
results by adopting 'functional enrichment (or pathway) analysis'. Using GEAR, the prevalent genomic imbalances observed in human solid tumors are
interpreted as the coordinated genomic dosage changes of functionally related
genes, collectively termed as genomic signatures. It is based on the assumption
that genome-wide chromosomal alterations might affect the activities of hundreds
to thousands of genes the majority of which, if not all, may produce wide
spectrum of molecular events while such coordinated changes cannot be detectable
by conventional single gene approaches. Since the annotated functions
of genomic signatures are suggestive of the processes associated with the genesis or
development of tumors, GEAR can lead to the identification of key functions that
are activated or repressed in the corresponding tumor genomes for better
insights on the tumorigenesis and also for the advanced strategies in diagnosis and
therapy.
- GEAR software installing package - Download
- After download, execute SETUP.msi to install GEAR package
(test datasets of array-CGH, gene mapping and pathway files are included)
- For simple running of enrichment analysis, PERL package is provided DOWNLOAD
- GEAR technical report and instructions (require Acrobat Reader) - Download
- Statistical considerations and related issues (with FAQ) for GEAR algorithm - ReadMe
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