Papers describing the mathematics and application of DBLR™:
 K. Slooten, Identifying common donors in DNA mixtures, with applications to database searches. Forensic Science International: Genetics. 2017; 26:40-7.
 M. Kruijver, J.-A. Bright, H. Kelly, J. Buckleton, Exploring the probative value of mixed DNA profiles. Forensic Science International: Genetics. 2019; 41: 1-10.
 J.-A. Bright, D. Taylor, Z. Kerr, J. Buckleton, M. Kruijver, The efficacy of DNA mixture to mixture matching. Forensic Science International: Genetics. 2019; 41: 64-71.
 D. Taylor, E. Rowe, M. Kruijver, D. Abarno, J.-A. Bright, J. Buckleton, Inter-sample contamination detection using mixture deconvolution comparison. Forensic Science International: Genetics. 2019; 160-167.
 J.-A. Bright, M. Jones Dukes, S.N. Pugh, I.W. Evett, J.S. Buckleton, Applying calibration to LRs produced by a DNA interpretation software. Australian Journal of Forensic Sciences. 2019; 1-7 https://doi.org/10.1080/00450618.2019.1682668(external link).
 Taylor D, Kruijver M. Combining evidence across multiple mixed DNA profiles for improved resolution of a donor when a common contributor can be assumed. Forensic Science International: Genetics 2020; 49.