STRmix team launches FaSTR DNA to rapidly analyze DNA profiles

The team that created STRmix™ – sophisticated forensic software used to resolve mixed DNA profiles previously thought to be too complex to interpret – is launching FaSTR™ DNA, expert forensic software that rapidly analyzes DNA profiles and assigns a Number of Contributors (NoC) estimate.

Designed by scientists for scientists, FaSTR™ DNA expedites the analysis of raw data generated by genetic analyzers and standard profiling kits. It does this by combining an intuitive, user-friendly graphical interface with easily understandable and laboratory-customizable rules.

FaSTR™ DNA also implements the use of artificial neural networks (ANN) for peak classification independent of and in parallel to the forensic analyst.

“STR DNA profiling analysis is a process of identifying alleles at highly variable sites on the chromosome,” explains Dr. Meng-Han Lin, Senior Scientist, STRmix Team.

Recognizing the need for speed, accuracy, and simplicity, particular attention has been paid in developing FaSTR™ DNA to simplifying the analysis procedure. Doing so enables reliable results to be achieved with minimum effort.

FaSTR™ DNA’s built-in Number of Contributors (NoC) estimator allows seamless integration with STRmix™ (when in use) for even greater speed and efficiency in analysis and interpretation of complex mixed DNA profiles.

FaSTR™ DNA works by applying a set of fully configurable rules to analyze most DNA profiles automatically. Because DNA analysis is so complex and the rules cannot resolve all profiles without the intervention of a DNA analyst, however, FaSTR™ DNA signals when human intervention is required. It then records and highlights changes made by the analyst. FaSTR™ DNA’s analysis algorithms are conceptually adapted from the proven approach of OSIRIS DNA (National Center for Biotechnology Information).

In its early release phase, FaSTR™ DNA will be available only to select STRmix™ users. Sales to a wider audience are expected to be available in the near future.

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