Richly Interactive Data Visualization

Webcast: Introduction to SNP & Variation Suite 7

Check out the following archived webcast for a glance out how efficiently SVS 7 manages and visualizes whole genome data.

View Webcast »

Plot Examples

LD Plot with Haplotypes	PCA Plot
Genotype Cluster Plot	Manhattan Plot
Heat Map	CNV LogRs/Segments
Histograms	Median Smooth
QQ Plot	Genome Browser

Fully-Integrated and Interactive Genome Browser

Static genome browsers are a thing of the past. SVS 7 delivers fast, exploratory analysis of your data and genomic annotations simultaneously in a single, coherent view helping you better understand the relevance of significant findings. With real-time network access to an expanding list of annotation tracks, such as RefSeq Genes, OMIM, GWAS Catalogue, and Database of Genomic Variants, you'll spend more time doing science than operating software.

Captivating Visualizations

SVS 7 offers a number of ways to customize, save, and share your visualizations. Within a single plot viewer, you can add any graph from any data source in your project enabling you to plot several data types side-by-side, such as SNP, copy number, and ROH results, or LD and haplotypes from multiple populations. Add annotation tracks from the new Genome Browser and the views you create are sure to make your colleagues jealous.

Once you have the view you want, advanced save-image preview tools enable you to further customize the image, scale it up or down, and save to a variety of print-quality graphic formats including: .png, .jpg, .bmp, .pdf, .ppm, .tif, and .svg.

Unprecedented Navigation

Navigate large-scale genetic data as never before. Zoom to any region of the genome fast, by typing in chromosome numbers or exact genomic position, rubber-band zoom around a point, double-click on a chromosome, cytoband or gene, or drag the zoom box across the genome. An integrated full domain view orients your zoom in context of all data point across the genome. Further, clicking on any marker, gene, or chromosome provides a number of hyperlinks to online databases helping you investigate that point or region in greater depth.

Types of Plots Supported

The plot viewer supports five major plot types: histograms, XY scatter plots, numeric value plots, heat maps, and interactive LD plots for detecting correlations between markers. Haplotypes can also be defined and visualized directly from an LD plot for specific regions or automatically across the genome.