We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

Cancer Genetics Expands BioDiscovery's Nexus Copy Number Platform

Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 1 minute

Cancer Genetics, Inc. and BioDiscovery, Inc. have announced expansion of the Nexus Copy Number Discovery platform in CGI research to uncover novel biomarkers which are predictive of cancer outcomes.

“Cancer Genetics has been able to leverage the Nexus Copy Number platform’s unique ability to quickly digest large data sets to uncover correlations between genomic events and clinical factors in their discovery efforts,” says Louis J. Culot, Vice President of Business Development and Marketing at BioDiscovery. “Cancer Genetics is an emerging leader in DNA cancer diagnostics. We are excited about the opportunity to play a role in the work being done and the impact that work is having on improving patient outcomes.”

“The Nexus Copy Number product is one of the primary analytic and collaboration tools for CGI’s R&D platform” says Jane Houldsworth, PhD, Vice President of Research and Development at CGI, “allowing our scientists to quickly mine complex data sets for underlying diagnostic and prognostic markers.”

CGI expects to utilize the many new features in Nexus Copy Number version 7.5, such as the ability to automatically classify samples with particular genomic aberrations, and plans to take advantage of the NGS support in the updated version.

According to CGI, the team at BioDiscovery has been highly responsive to scientists’ needs, accelerating research and development.

BioDiscovery Nexus Copy Number software offers simple yet powerful tools for copy number and sequence variation (CNV) analysis and visualization from microarrays and next generation sequencing (NGS), for analysis of complex data such as solid tumor samples and complex constitutional disease.

The scientist-driven software embeds powerful statistical tools designed specifically for the end-user, allowing rapid detection of chromosomal aberrations and identification of affected pathways.