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FaSTR™ DNA

Rapidly analyse DNA profiles and assign number of contributors

FaSTR™ DNA is designed by scientists for scientists, combining a sophisticated and user-friendly graphical interface with easily understandable, transparent and laboratory customisable rules for DNA profile analysis.

INTUITIVE

FaSTR™ DNA’s interface helps streamline the otherwise time-consuming workflow of calling alleles.

INTELLIGENT

FaSTR™ DNA incorporates optional artificial neural networks (ANN) for the independent classification of peaks detected[1].

INTEGRATED

FaSTR™ DNA’s in-built Number of Contributors (NoC) estimator allows seamless integration with STRmix™ to make the analysis and interpretation process even easier[2].

For a short walk-through of the functions in FaSTR™ DNA please click here: 

 

The software has been developed by the New Zealand Institute for Public Health and Forensic Science (PHF Science, previously ESR), with Forensic Science SA (FSSA) and supported by a published developmental validation study[3]. 

WITH FaSTR™ DNA YOU WILL BE ABLE TO:

  • Analyse raw DNA results more rapidly, particularly high throughput samples such as DNA databank samples.
  • Fully configure settings, including setting known kit artefacts.
  • Optionally estimate the Number of Contributors to a profile (for both autosomal- and Y-STR loci).
  • Seamlessly integrate with STRmix™ (when in use) for even greater speed and efficiency from analysis to interpretation.
  • Easily generate informative electropherogram (EPG) reports.
  • Customise export and report settings.
  • Carry out quality checks including control concordance testing, and checks for the presence of quality markers and primer flare.
  • Perform sample to sample comparison checks.
  • Perform comparison checks against a database of reference profiles.
  • Group samples as replicates for interpretation in STRmix™ and replicate sample comparison checks. 
  • Review two separately analysed projects side by side and resolve conflicts.
  • Create a sub-project of analysed data for better case management. 

[1] D. Taylor, A. Harrison, D. Powers, Artificial neural network system FSI Genetics 30 (2017) 114-126.

[2] M. Kruijver, H. Kelly, K. Cheng, M.-H. Lin, J. Morawitz, L. Russell, J. Buckleton, J.-A. Bright, Estimating the number of contributors to a DNA profile using decision trees, Forensic Science International: Genetics 50 (2021) 102407.

[3] M.-H. Lin, S.-I. Lee, X. Zhang, L. Russell, H. Kelly, K. Cheng, S. Cooper, R. Wivell, Z. Kerr, J. Morawitz, J.-A. Bright, Developmental validation of FaSTR™ DNA: Software for the analysis of forensic DNA profiles, Forensic Science International: Reports 3 (2021) 100217.

 

To download the latest FaSTR™ DNA brochure click here [PDF, 380 KB]