Visualize genomic hybridization data and perform comparative analysis with our specialized software program. Perfect for researchers and medical professionals, get fast and accurate results with our intuitive tool.
SnoopCGH is a fantastic free and open source desktop application built using Java. This software is designed specifically for visualizing and exploring comparative genomic hybridization (CGH) data. With SnoopCGH, users can easily analyze multiple sets of data at the same time.
The input used for SnoopCGH is based on a tab-, space-, or comma-delimited format containing series of log intensity values corresponding to one or more comparisons or samples. CGH plots are available that have unlimited zoom in both axes and can be explored interactively using the mouse. Multiple layers are used so that the user can filter CGH ratios or perform statistical analysis in regions of interest. This multiple layer feature is extremely handy for better visualizing data.
SnoopCGH has implemented several analysis methods that allow the user to dissect putative structural variations (SVs) quickly. The data is smoothed using an algorithm based on Haar wavelets, and islands of potential SVs are estimated using SW-Array.
One of SnoopCGH's superpower features is its ability to interface with downloadable annotation files from genomic browsers. These annotation files contain information on gene names and genomic features like GC content, and the user has a visual representation of this information at the bottom of the plot. Detailed textual information can easily be accessed by clicking on them or by searching for them textually. Direct links to the primary genomic browsers are also included in the interface.
Overall, SnoopCGH is a great option for exploring comparative genomic hybridization data for both novices and advanced users. Its wide range of features and user-friendly interface make it a must-have software for people working in this field.
The input used for SnoopCGH is based on a tab-, space-, or comma-delimited format containing series of log intensity values corresponding to one or more comparisons or samples. CGH plots are available that have unlimited zoom in both axes and can be explored interactively using the mouse. Multiple layers are used so that the user can filter CGH ratios or perform statistical analysis in regions of interest. This multiple layer feature is extremely handy for better visualizing data.
SnoopCGH has implemented several analysis methods that allow the user to dissect putative structural variations (SVs) quickly. The data is smoothed using an algorithm based on Haar wavelets, and islands of potential SVs are estimated using SW-Array.
One of SnoopCGH's superpower features is its ability to interface with downloadable annotation files from genomic browsers. These annotation files contain information on gene names and genomic features like GC content, and the user has a visual representation of this information at the bottom of the plot. Detailed textual information can easily be accessed by clicking on them or by searching for them textually. Direct links to the primary genomic browsers are also included in the interface.
Overall, SnoopCGH is a great option for exploring comparative genomic hybridization data for both novices and advanced users. Its wide range of features and user-friendly interface make it a must-have software for people working in this field.
What's New
Version Beta: N/A