Industry-Leading Genomic Data Analysis Software

Analyze your Next-Gen Sequencing data in one, complete solution from FASTQ to a clinical report.

PROVEN

In business for 20 years and cited in 1,300+ publications, we are proud to support over 20,000 users in more than 400 institutions worldwide.


INTEGRATED

Our entire clinical pipeline consists of software products that are deeply integrated with each other. In addition, we provide automation capabilities that are crucial in high-throughput testing environments.


VALUE

No per-sample charges! You will save money with our annual subscription model. Licenses include unlimited training and support to ensure success.



Popular Products



SNP & Variation Suite

SNP & Variation Suite is a powerful analytic tool that allows biologists and other researchers to easily perform complex analyses and visualizations on genomic and phenotypic data.

  • GWAS & SNP Analysis
  • Large-N DNA-Seq Analysis
  • Genomic Prediction
  • Copy Number Analysis
  • RNA-Seq Analysis

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VarSeq

VarSeq is an intuitive, integrated software solution for tertiary analysis. With VarSeq you can automate your workflows and analyze variants for gene panels, exomes, and whole genomes.

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VSWarehouse

Built on the same algorithms of Varseq, VSWarehouse is a scalable, multi-project warehouse for NGS variant call sets, clinical reports, and catalogs of variant assessments.

  • Fully Integrated with VarSeq Workflows
  • Scalable Technology
  • Organize Samples into Projects
  • Centralized Clinical Report Hosting
  • Create Variant Assessment Catalogs

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Support for Various Industries


Customer Testimonials


Benjamin Darbo, Ph.D

University of Iowa

Dr. Benjamin Darbro, Director of Shivanand R. Patil Cytogenetics and Molecular Laboratory

“VarSeq had everything we were looking for with regards to annotation, filtering sources and an actual visual browser within the software itself. However, what really set it apart in retrospect is how intuitive it is.”


Read Darbro's Case Study


Heather Huson, Ph.D

Cornell University

Dr. Heather Huson, Professor of Dairy Cattle Genetics, Odyssey DNA Lab

"The huge benefit of SVS is it's user-friendly, and you can basically visualize your results in the same program. You don't have to spend nearly as much time manipulating data and results to get it in the right input and output formats."

Read Huson's Case Study


Hela Azaiez, Ph.D

University of Iowa

Dr. Hela Azaiez, Associate Research Scientist, Molecular Otolaryngology and Renal Research Laboratories

“SVS opened so many doors for my research. It allowed me to explore new ideas. It allowed me to do stuff I never thought was even possible to do in that amount of time so that I could test so many hypotheses. All that I had to do is click a button.”


Read Azaiez's Case Study


Upcoming Webcast

Whole Genome Trait Association in SVS

August 12, 2020 | 12:00 PM EDT

VarSeq is a tertiary analysis platform that allows users to filter and annotate NGS sequencing data to identify clinically relevant variants. Following this workflow, VSClinical can then be used to automate both germline and somatic variant analysis in accordance with the ACMG and AMP guidelines by using a variety of functional prediction models and clinical and reviewer-based annotations. Once variant or biomarker interpretations are completed, they can be rendered in a customizable clinical report and stored in an internal assessment catalog as an internal variant database repository. Together, implementation of VSClinical will promote increased lab throughput as well as accuracy and compliance with the ACMG and AMP guidelines, which in turn can save time and money. To show the capabilities of our software, this webcast will provide a demonstration of how to use VarSeq and VSClinical for the evaluation of both germline and somatic variants in accordance with the ACMG and AMP Guidelines.

In this webcast, we will cover:

  • Filter logics for germline and somatic variants and selecting them into the VSClinical interface
  • Capabilities of functional prediction and splice site algorithms for edge case variants
  • The functionality of changing the clinically relevant transcript on variant interpretation
  • Rendering a clinical report with germline and somatic variants with the inclusion of clinical trials