Genetic association beyond the common variant.

SNP Analysis

Get the most out of your SNP data with the most complete set of genotype analysis tools.

Copy Number Variation Analysis

From cytogenetics to GWAS, SVS 7 delivers the most powerful CNV analysis tools.

LD and Haplotype Analysis

Powerful new plotting and analytics capabilities for linkage disequilibrium and haplotypes.

Genome-Wide Association

Take GWAS to a new level with unparalleled performance on large-scale data.

Runs of Homozygosity Analysis

Identify patterns of extended homozygosity and then run statistical tests for association.

Family-Based Analysis

Cutting-edge analytics for virtually any family study design and ascertainment condition.

Data Management

Easily manage data of any size and type on a conventional desktop computer.

Data Editing and Enrichment

Real-time data editing, manipulation, and enrichment on large-scale data.

Quality Assurance

A robust toolset for quickly assessing and remedying sample and marker issues.

Interactive Visualization

Explore data and results with unprecedented whole genome navigation and visualization.

Scripting and Integration

Innovate, integrate, and automate with a fully-programmatic Python scripting interface.

HelixTree

HelixTree is the core module of the SNP & Variation Suite. Its unique set of conventional and leading edge analytic tools empower you to quickly and easily perform a broad array of workflows for genetic association studies.

CNAM

CNAM, in conjunction with other SVS 7 modules, offers a complete set of tools for processing raw intensity data, identifying regions of copy number variation (CNV), visualizing copy number data, and performing association analysis on a variety of copy number covariates.

PBAT

Developed in collaboration with Dr. Christophe Lange of Harvard's School of Public Health, Golden Helix PBAT delivers an exclusive and extensive array of advanced statistical routines for the design and analysis of family-based SNP and CNV association studies.

Whole Genome Analysis Module

The Whole Genome Analysis Module incorporates several technologies and methods designed to overcome the statistical and computational challenges of large-scale whole genome analysis.

Regression Module

Perform advanced linear and logistic regression, stepwise regression, and permutation tests with numeric variables and recoded genotypes.

SVS Viewer

SVS Viewer makes collaboration easy, and it’s completely free. Load projects or individual datasets created by someone with SVS 7. Then you can manipulate spreadsheets, edit node annotations, augment existing plots, or create entirely new ones.

SVS will run well on just about any conventional laptop, desktop, or server.  However, there are several considerations in choosing new hardware that will give you the optimal experience while mitigating budget impact.

Standard (Moderate power adequate for most Single Named User and Lab Licenses)

Single dual-core processor (Quad-core processors are getting cheaper, becoming an attractive option)
32-bit Windows 7, XP, Vista, Linux, or Mac OS X 10.5
2-4GB of RAM

Advanced (For Universal Server Licenses, systems used for CNV segmentation, or for large projects)

Two quad-core processors (eight cores)
64-bit Windows 7, XP, Vista, Linux, or Mac OS X 10.5
(If for a server license: Windows Server 2003 64-bit, Windows Server 2008 64-bit, or 64-bit Linux)
8-16GB+ of RAM

» Find out more information regarding technical requirements with large-scale data