| Literature DB >> 33373910 |
Robert M Goor1, Douglas Hoffman2, George R Riley3.
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. Published by Elsevier B.V.Entities:
Keywords: Artifact identification; Artifact removal; DNA analysis; OSIRIS; Quality control; STR analysis software
Mesh:
Year: 2020 PMID: 33373910 PMCID: PMC8279173 DOI: 10.1016/j.fsigen.2020.102410
Source DB: PubMed Journal: Forensic Sci Int Genet ISSN: 1872-4973 Impact factor: 4.882