Publications & Videos

In addition to providing our clients the most advanced DNA analysis software and tools available, we are committed to training and educating DNA analysts worldwide.

The following selection of papers describing the biological model, mathematics, performance and validation of STRmix™ have been published (for the full list please visit https://www.strmix.com/strmix/published-data/):

 

1. D.A. Taylor, J.-A. Bright, J. S. Buckleton, The interpretation of single source and mixed DNA profiles, Forensic Science International: Genetics. 7(5) (2013) 516-528.
2. J.-A. Bright, D.A. Taylor, J. M. Curran, J. S. Buckleton, Developing allelic and stutter peak height models for a continuous method of DNA interpretation, Forensic Science International: Genetics. 7(2) (2013) 296-304.
3. J.-A. Bright, D.A. Taylor, J. M. Curran, J. S. Buckleton, Searching mixed DNA profiles directly against profile databases Forensic Science International: Genetics. 9 (2014) 102-110.
4. D.A. Taylor. Using continuous DNA interpretation methods to revisit likelihood ratio behaviour. Forensic Science International: Genetics, 2014. 11: 144-153.
5. J.-A. Bright, J.M. Curran and J.S. Buckleton, The effect of the uncertainty in the number of contributors to mixed DNA profiles on profile interpretation. Forensic Science International: Genetics, 2014. 12: 208-214.
6. J.-A. Bright, K.E. Stevenson, J.M. Curran and J.S. Buckleton, The variability in likelihood ratios due to different mechanisms. Forensic Science International: Genetics, 2015. 14:187-190.
7. D.A. Taylor, J.-A. Bright and J.S. Buckleton, Considering relatives when assessing the evidential strength of mixed DNA profiles. Forensic Science International: Genetics, 2014. 13: 259-263.
8. J.-A. Bright, D.A. Taylor, C.E. McGovern, S.J. Cooper, L.J. Russell, D. Abarno, J.S. Buckleton, Developmental validation of STRmix™, expert software for the interpretation of forensic DNA profiles. Forensic Science International: Genetics, 2016. 23:226- 239.
9. T.R. Moretti, R.S. Just, S.C. Kehl, L.E. Willis, J.S. Buckleton, J.-A. Bright, D.A. Taylor, Internal validation of STRmix™ for the interpretation of single source and mixed DNA profiles. Forensic Science International: Genetics, 2017. 29:126-144.
10. D.A. Taylor, J.-A. Bright, H. Kelly, M.-H. Lin, J.S. Buckleton. A fully continuous system of DNA profile evidence evaluation that can utilise STR profile data produced under different conditions within a single analysis. Forensic Science International: Genetics, 2017. 31:149-154.
11. J.-A. Bright, et al., Internal validation of STRmix; A multi laboratory response to PCAST. Forensic Science International: Genetics, 2018. 34:11-24.
12. L. Russell, S.J. Cooper, R. Wivell, Z.B. Kerr, D. Taylor, J.S. Buckleton, J.-A. Bright, A guide to results and diagnostics within a STRmix™ report. Wiley Interdisciplinary Reviews: Forensic Science, https://doi.org/10.1002/wfs2.1354
13. J.S. Buckleton, J.-A. Bright, S. Gittelson, T. R. Moretti, A.J. Onorato, F.R. Bieber, B. Budowle, D.A. Taylor. The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity. Journal of the Forensic Sciences, 2018. 64(2):393-405.
14. J.-A. Bright, K. Cheng, Z. Kerr, C. McGovern, J.S. Buckleton. STRmix™ collaborative exercise on DNA mixture interpretation, Forensic Science International: Genetics. 2019. 40: 1-8.
15. J.A. Bright, D. Taylor, Z. Kerr, J.S. Buckleton, M. Kruijver. The efficacy of DNA mixture to mixture matching. Forensic Science International: Genetics. 2019. 41:64-71.
16. H. Kelly, J.-A. Bright, M.D. Coble, J.S. Buckleton. A description of the likelihood ratios in the probabilistic genotyping software STRmix™. Wiley Interdisciplinary Reviews: Forensic Science, https://doi.org/10.1002/wfs2.1377
17. J.S. Buckleton, S.N. Pugh, J.-A. Bright, D.A Taylor, J.M. Curran, M. Kruijver, P. Gill, B. Budowle, and K. Cheng. Are low LRs reliable? Forensic Science International: Genetics 2020. 102350.
18. D. Taylor, J.-A. Bright, L. Scandrett, D. Abarno, S.-I. Lee, R. Wivell, H.Kelly and J. Buckleton. Validation of a top-down DNA profile analysis for database searching using a fully continuous probabilistic genotyping model. Forensic Science International: Genetics. 2021 2021/05/01/;52:102479.
19. D. Taylor, J. Buckleton. Combining artificial neural network classification with fully continuous probabilistic genotyping to remove the need for an analytical threshold and electropherogram reading. Forensic Science International: tics Volume 62, January 2023, 102787