CGH Fusion

Overview

infoQuant’s CGH Fusion^® is the leading commercially available and industry proven software for DNA Copy Number analysis designed with high-throughput laboratories in mind. CGH Fusion is the ultimate end-to-end solution that facilitates processing of very large array CGH and SNP array data batches and brings productivity of a Cytogenetic lab to the next level. It also provides rapid and reliable identification of biologically meaningful regions of common alterations across hundreds of samples for research-oriented laboratories. Watch a series of recorded seminars on Copy Number and LOH analysis and our product videos for more information.

Features

Unsupervised large-scale batch processing

Batch data analysis can be executed on data generated with aCGH and/or SNP platforms for hundreds or thousands of samples with a single mouse click. infoQuant’s unique approach to data normalization and segmentation allows you to process very large sets of array data on a standard PC producing automated gain/loss and LOH calls for the whole dataset within minutes.

Centralized array CGH analytics

With CGH Fusion clinical laboratories can benefit from centralized processing of array data reducing their risk of human error. Analysis results from a specific batch are automatically saved locally, to a shared drive or to a database, where they can be reviewed and interpreted later on. This type of organization of data processing is especially useful for laboratories employing multiplex chips. Additional seats of oneClickCGH software can help laboratories to further organize their review and approval workflow around CGH Fusion.

Compatibility with major array platforms

CGH Fusion is compatible with data formats used by all major aCGH and SNP platforms: PerkinElmer, Agilent, Affymetrix, Nimblegen, Illumina, BlueGnome and more. It is the only aCGH software supporting both BAC and oligo array platforms with the highest level of precision and interaction. Such platform independence enables researchers and clinicians to compare genomic variation regions for array datasets generated by different labs or even different institutions. CGH Fusion will keep supporting your Copy Number analysis needs no matter which array platform you decide to try.

Construction of in-house CNV tracks

CGH Fusion is the only array copy number analysis software that can turn a tedious procedure of accumulating in-house sets of known copy number variants into a simple and interactive task. It allows its users to build sets of normal or clinically relevant CNVs utilizing large collections of samples. Seamless integration with oneClickCGH makes then custom CNV tracks available for reference in routine diagnostic tests. This facilitates constant interaction between research and diagnostic processes within an institution.

Power of data fusion across samples

CGH Fusion helps geneticists identify and visualize gain/loss and LOH regions that are common across patients with similar medical conditions constructing comprehensive copy number patterns. Using CGH Fusion you can also easily compare copy number patterns across different groups of patients producing valuable biological insights within minutes. Data from different array platforms can be easily compared in CGH Fusion within the same dataset.

Unprecedented level of data interaction

CGH Fusion was designed for unprecedented data interaction experience and ease of use. This software was built to help you navigate between copy number profiles for different biological conditions and to let you drill any anomaly down to the probe level of an individual sample for instant results verification. CGH Fusion also allows you to compare probe-level data between various samples and to visualize both copy number and allele-specific measurements at the same time. Its interface is enriched with gene information, disorder associations, Gene Ontology terms and publicly available CNV tracks. All that information is right there at your fingertips to provide the most effective path to clinical interpretation of the results of your experiment.

Screenshots

	Multi-ratio Comparisons
	Aberration Frequency Plot

System Requirements