AIMC Topic: DNA Fingerprinting
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Developmental validation of PACE™: Automated artifact identification and contributor estimation for use with GlobalFiler™ and PowerPlex® fusion 6c generated data.
Forensic science international. Genetics
Aug 8, 2019
DNA mixture interpretation remains one of the major challenges in forensic DNA analysis. DNA mixture samples are inherently complex due to several factors including the variations in the quantity of DNA, the presence of non-allelic artifactual peaks ...
CaseSolver: An investigative open source expert system based on EuroForMix.
Forensic science international. Genetics
Apr 2, 2019
For very serious crimes, reporting scientists often have to contend with complex cases where literally hundreds of items are submitted by investigators for analysis. In order to efficiently expedite the challenge of comparing reference profiles to ev...
Automation of the standard DNA differential extraction on the Hamilton AutoLys STAR system: A proof-of-concept study.
Forensic science international. Genetics
Feb 13, 2019
For several decades, a common approach for processing sexual assault evidence has been to use the "standard" differential extraction to separate the evidence into a non-sperm-cell fraction and a sperm-cell fraction for further analysis. In this stand...
A single nucleotide polymorphism panel for individual identification and ancestry assignment in Caucasians and four East and Southeast Asian populations using a machine learning classifier.
Forensic science, medicine, and pathology
Jan 16, 2019
Single nucleotide polymorphism (SNP) profiling is an effective means of individual identification and ancestry inferences in forensic genetics. This study established a SNP panel for the simultaneous individual identification and ancestry assignment ...
Automation of the Differential Digestion Process of Sexual Assault Evidence.
Journal of forensic sciences
Jul 25, 2018
Sexual assault evidence samples require the use of a specific process known as a differential digestion to separate sperm from nonsperm cells prior to DNA extraction. An automated differential digestion process was developed using a selective degrada...
Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting.
BMC bioinformatics
Jun 26, 2018
BACKGROUND: Biomolecular methods for species identification are increasingly being utilised in the study of changing environments, both at the microscopic and macroscopic levels. High-throughput peptide mass fingerprinting has been largely applied to...
A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning.
Forensic science international. Genetics
Mar 31, 2018
The interpretation of genetic profiles require a robust and reliable method to discriminate true allelic information from noise, regardless of the instrumentation or methods used. Traditionally, static peak detection thresholds (analytical thresholds...
An artificial neural network system to identify alleles in reference electropherograms.
Forensic science international. Genetics
Jul 8, 2017
Electropherograms are produced in great numbers in forensic DNA laboratories as part of everyday criminal casework. Before the results of these electropherograms can be used they must be scrutinised by analysts to determine what the identified data t...
A statistical framework for biomedical literature mining.
Statistics in medicine
Jul 4, 2017
In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not onl...
PACE: Probabilistic Assessment for Contributor Estimation- A machine learning-based assessment of the number of contributors in DNA mixtures.
Forensic science international. Genetics
Nov 24, 2016
The deconvolution of DNA mixtures remains one of the most critical challenges in the field of forensic DNA analysis. In addition, of all the data features required to perform such deconvolution, the number of contributors in the sample is widely cons...
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