Topic: Data Analysis Insights

Estimating Copy Number From Log Ratios

Take a look at some common questions that customers have about using Nexus, and receive some advice on calculating the actual copy number of samples in Nexus.

From Raw Data to Copy Number Calls – Data processing workflow in Nexus Copy Number

Take a look at how Nexus Copy Number handles the different “Raw Data” and the three steps to analyzing the data.

Estimation of Aberrant Cell Percentage in Tumor Normal Cell Mixture

Cancer samples usually contain a mixture of tumor and normal cells. Take a look at this formula for calculating a one-copy loss event.

Review of “Statistical Challenges associated with detecting copy number variations with next-generation sequencing”

Learn more about CNV analysis by reading this review of the challenges with detecting copy number variations with next-generation sequencing.

Converting copy number to values in Excel

Looking to convert descriptive results from copy number like “homozygous copy loss”, and “High Copy Gain” to excel? This formula helps keep it simple.

Notes on Analyzing Affymetrix OncoScan™ Data in Nexus Copy Number

Learn why Nexus Copy Number is the exclusive software solution for the analysis of OncoScan™ data due to its advanced algorithm and ease of use.

Concordance: Identifying Significant Co-occurring Alterations

After identifying a copy number change or a sequence variant, you may wonder, what other changes are associated with this aberration? Find out here!

How to Identify Chromothripsis in Tumor Samples

Learn how to identify chromothripsis in tumors by tracking the frequency of chromosomal shattering in most cancer types with Nexus Copy Number software.

Changing Analysis Settings in Nexus

The default Nexus Copy Number settings is great, but if you want to learn how to adjust the settings to optimize results, we've got you covered!

Utility of Visualizing and Analyzing Sequence Variants Alongside Copy Number Changes

Nexus Copy Number 7 can provide a comprehensive picture of the genome and further elucidate the etiology of pathogenic events. Learn more!