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A web-based tool that applies a number of popular algorithms to a single array CGH profile entered by the user. CGHweb generates a heatmap panel of the segmented profiles for each method as well as a consensus profile. The clickable heatmap can be moved along the chromosome and zoomed in or out. It also displays the time that each algorithm took and provides numerical values of the segmented profiles for download. The web interface calls algorithms written in the statistical language R.

FISH Oracle

Offers a fast and easy to use visualization tool for array CGH and SNP array data. FISH Oracle allows for the identification of genomic regions representing minimal common changes based on data from one or more experiments. Its fast visualization engine and advanced web and database technology supports highly interactive use. FISH Oracle comes with a convenient data import mechanism, powerful search options for genomic elements (e.g. gene names or karyobands), quick navigation and zooming into interesting regions, and mechanisms to export the visualization into different high quality formats. These features make the software especially suitable for the needs of life scientists.


Detects copy number variation (CNV) regions and provides a visual inspection function to reduce false positive CNV calls based on comparative genomic hybridization arrays (aCGH) and next generation sequencing (NGS) data. Genovar consists of three major components: (i) visualizes aCGH data and sequence alignment of chromosomal regions; (ii) provides a read-depth plot, and (iii) summary information of each read when a certain read is selected in the panel. The program also provides comprehensive information to help in the elimination of spurious signals by visual inspection, making Genovar a valuable tool for reducing false positive CNV results.

ISACGH / In Silico Array-CGH

Allows visualizing array CGH data or/and expression arrays onto human or mouse chromosomal coordinates (automatically found through their standard identifiers) and represents the regions with copy number alterations found by using different methods. Correlations between copy number and gene expression level can be visualized in different plots. The program finds minimal common regions with altered copy number across different arrays. Although ISACGH can be used alone, it is tightly integrated into the GEPAS and Babelomics packages.