Can you perform CNV analysis?
Yes, our system can detect CNV on the same data.
Which algorithm do you use to detect CNV?
OncoDNA uses an internal proprietary algorithm to detect CNV (i.e. OncoCNV).
This generally works by comparing your data to a baseline model (which is created using negative CNV samples).
What is a baseline and why do you need it to analyze CNV?
A baseline provides a reference model to the normal sample. The baseline is created from multiple samples with no known CNV using the same panel
CNV is then analyzed by comparing your dataset to a known dataset (baseline).
How many samples do you need to build the baseline for CNV analysis?
10-15 samples (~5 positive CNV and ~10 negative CNVs), is needed to build the baseline. The more samples, the better.
This allows to generate the baseline with lower costs, but it is then being optimized when we receive new samples.
For more information, please email us at: oncokdmsales@oncodna.com