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Novel Method for Accurately Assessing Pull-up Artifacts in STR Analysis
- Source :
- Forensic Sci Int Genet
- Publication Year :
- 2020
-
Abstract
- OSIRIS is a mathematically-based software tool for Short Tandem Repeat (STR) and DNA fragment analysis (https://www.ncbi.nlm.nih.gov/osiris/). As part of its routine sample analyses, OSIRIS computes unique quality metrics that can be used for sample quality assessment. A common artifact of STR analysis is cross-channel pull-up or pull-down (negative pull-up). This occurs because of the spectral overlap between the dyes used with the marker set, and the failure of the color deconvolution matrix to isolate the colors in the dye set adequately. This paper describes a mathematical method for analyzing and quantifying the pull-up patterns across sample channels and effectively identifying and correcting the pull-up artifacts, as implemented in OSIRIS. Unlike approaches to pull-up that require a training set composed of previous samples, the algorithm described here uses a mathematical model of the underlying causes of pull-up. It is based solely on the information intrinsic to the sample it is analyzing and therefore incorporates the effects of the ambient conditions and the specific procedures used in creating the sample. These conditions are the physical determinants of the level of pull-up in the sample and are not likely to be represented in a training set consisting of past samples.
- Subjects :
- 0301 basic medicine
Forensic Genetics
Computer science
Sample (statistics)
Article
Pathology and Forensic Medicine
Set (abstract data type)
03 medical and health sciences
0302 clinical medicine
Fragment (logic)
Genetics
Humans
030216 legal & forensic medicine
Artifact (error)
Training set
biology
business.industry
Pattern recognition
Models, Theoretical
biology.organism_classification
DNA Fingerprinting
030104 developmental biology
STR analysis
Deconvolution
Artificial intelligence
Osiris
business
Artifacts
Software
Microsatellite Repeats
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Forensic Sci Int Genet
- Accession number :
- edsair.doi.dedup.....a8f606713d7e934afda3391bdb7fc5e2