Forensic Software Resources
The ISFG is supporting OPEN SOURCE software projects in forensic statistics, as well as freely accessible software packages offered to our scientific community. The ISFG is not endorsing any specific software.
The ISFG is listing these software applications as a service to the forensic genetics community, but is not providing any warranties on software performance. It is the responsibility of the end user to review if validations and performance checks for the selected program meet any applicable casework standards.
This is not a complete list of forensic software resources, there are others that may have escaped our attention. Furthermore there are numerous commercially available software solutions for the forensic genetics community.
MMDIT mtDNA mixture interpretation
OSIRIS
DNAxs profile comparison and probabilistic analysis
LRmix Studio Community Edition
Open source forensim package for R
DNAmixtures using a continuous model
MixtureCalc v1.2 Excel sheet
Mixture Analysis Excel sheet (for deconvolution)
likeLTD for R
EuroForMix
MixSep mixture separation software for R
DNAMIX3 for mixture calculation
FamLink kinship software
The bracket script (for replicated STR results)
DNA commission recommendations 2012: Excel sheet for LR calculation considering dropout and dropin events
SmartRank database search software
The ISFG is listing these software applications as a service to the forensic genetics community, but is not providing any warranties on software performance. It is the responsibility of the end user to review if validations and performance checks for the selected program meet any applicable casework standards.
This is not a complete list of forensic software resources, there are others that may have escaped our attention. Furthermore there are numerous commercially available software solutions for the forensic genetics community.
MMDIT mtDNA mixture interpretation
OSIRIS
DNAxs profile comparison and probabilistic analysis
LRmix Studio Community Edition
Open source forensim package for R
DNAmixtures using a continuous model
MixtureCalc v1.2 Excel sheet
Mixture Analysis Excel sheet (for deconvolution)
likeLTD for R
EuroForMix
MixSep mixture separation software for R
DNAMIX3 for mixture calculation
FamLink kinship software
The bracket script (for replicated STR results)
DNA commission recommendations 2012: Excel sheet for LR calculation considering dropout and dropin events
SmartRank database search software
- Analysis of forensic DNA mixtures with artefacts. RG Cowell, T Graversen, S Lauritzen, and J Mortera. Journal of the Royal Statistical Society, series C. Volume 64, Issue 1, 1-48, 2015. http://onlinelibrary.wiley.com/doi/10.1111/rssc.12071/full
- Likelihood ratios and mixture deconvolution
- Combined analysis of replicates or multiple pieces of DNA evidence
- Visual assessment of the suitability of the model
- Computational aspects of DNA mixture analysis. T Graversen and S Lauritzen. Statistics and Computing, Volume 25, Issue 3, 527-541. 2015 http://dx.doi.org/10.1007/s11222-014-9451-7
- Balding DJ, Buckleton J (2009) Interpreting low template DNA profiles FSI Genetics, 4: 1-10. DOI Link
- Balding DJ (2013) Evaluation of mixed-source, low-template DNA profiles in forensic science. Proc Natl Acad Sci USA 110: 12241–12246. DOI Link
- when relatives of the alleged contributor are considered,
- with up to 3 unprofiled contributors,
- any number of profiled contributors, each of whom can be analysed as subject to dropout, in which case relative amounts of DNA are estimated, or not subject to dropout, *separate dropout rates for each replicate.
- Ø. Bleka, G. Storvik, P. Gill; EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts; Forensic Sci. Int. Genet., 21:35-44, 2016. DOI Link
- Evaluating the weight of evidence by using quantitative short tandem repeat data in DNA mixtures. T. Tvedebrink, PS Eriksen, HS Mogensen and N. Morling. Applied Statistics 59(5): 855-874
- Identifying contributors of DNA mixtures by means of quantitative information of STR typing. T. Tvedebrink, PS Eriksen, HS Mogensen and N. Morling. Journal of Computational Biology (in press) (2010)
If you would like to share your self-developed software for mixture analysis with the forensic genetics community on this website, please send a message to one of the ISFG Executive Committee members!