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An Instrumented Pull Test to Characterize Postural Responses
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Novel Method for Accurately Assessing Pull-up Artifacts in STR Analysis.

Robert M Goor1, Douglas Hoffman1, George R Riley1

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

Forensic Science International. Genetics
|December 29, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel mathematical method in OSIRIS software to identify and correct DNA pull-up artifacts in Short Tandem Repeat (STR) analysis. The algorithm uses sample-intrinsic data, improving accuracy without needing prior sample data.

Keywords:
Artifact identificationArtifact removalDNA analysisOSIRISQuality controlSTR analysis software

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Area of Science:

  • Forensic Science
  • Bioinformatics
  • Molecular Biology

Background:

  • Short Tandem Repeat (STR) analysis is crucial for DNA profiling.
  • Cross-channel pull-up/pull-down is a common artifact in STR analysis due to spectral dye overlap and imperfect color deconvolution.
  • Existing methods for pull-up correction often rely on training sets of previous samples.

Purpose of the Study:

  • To describe a mathematical method for analyzing and quantifying pull-up artifacts in STR analysis.
  • To implement this method in the OSIRIS software for effective identification and correction of pull-up.
  • To develop a pull-up correction approach independent of external training datasets.

Main Methods:

  • Development of a mathematical model based on the underlying causes of pull-up.
  • Quantification of pull-up patterns across sample channels using intrinsic sample data.
  • Implementation of the algorithm within the OSIRIS software for automated analysis.

Main Results:

  • The described mathematical method effectively identifies and corrects pull-up artifacts in STR analysis.
  • The algorithm's reliance on intrinsic sample data accounts for specific experimental conditions.
  • OSIRIS software provides unique quality metrics for sample quality assessment, including pull-up analysis.

Conclusions:

  • The novel mathematical approach offers a robust solution for correcting pull-up artifacts in STR analysis.
  • This method enhances the reliability of DNA fragment analysis by leveraging sample-specific information.
  • OSIRIS software provides an advanced tool for forensic and molecular biology applications, improving data quality.