DNA/RNA Quantification

Gene expression assays are developed by relative quantification, which compares the levels of two different target sequences in a single sample, for instance a target gene of interest (GOI) and another gene (reference gene) and expresses the final result as a ratio of these targets.

Gene expression studies usually try to determine the way a target gene changes its expression profile over time (e.g., how much the expression changes in the course of a disease or treatment) relative to a defined starting point (e.g., disease-free or untreated state).

Additional Software: data analysis represents one of the biggest bottlenecks in qPCR experiments. For this reason, data statistical analysis is also avaible using Integromics´ RealTime StatMiner^© software.

Viral load studies are developed by absolute quantification and allows scientists to quantify a single target sequence and express the final result as an absolute value (e.g., viral load - copies/ml). Such analyses is routinely used in areas like virology and microbiology.