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Methodology for Accurate Detection of Mitochondrial DNA Methylation
12:11

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Published on: May 20, 2018

SAM: String-based sequence search algorithm for mitochondrial DNA database queries.

Alexander Röck1, Jodi Irwin, Arne Dür

  • 1Institute of Mathematics, University of Innsbruck, Technikerstrasse 13, 6020 Innsbruck, Austria.

Forensic Science International. Genetics
|November 9, 2010
PubMed
Summary
This summary is machine-generated.

We developed SAM, a new algorithm for analyzing mitochondrial DNA (mtDNA) sequences. SAM ensures accurate database searches by converting sequences into position-free strings, improving forensic and population genetics studies.

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Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
12:35

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA

Published on: November 14, 2017

Area of Science:

  • Genetics
  • Bioinformatics
  • Forensic Science

Background:

  • Mitochondrial DNA (mtDNA) analysis is crucial for genetics and disease studies.
  • Current mtDNA haplotype reporting uses position-based formats, leading to inconsistent database search results.
  • Variations in sequence alignment across disciplines bias mtDNA data interpretation.

Purpose of the Study:

  • To introduce SAM, a novel string-based search algorithm for mtDNA analysis.
  • To eliminate biased results in mtDNA database searches caused by differing annotations.
  • To improve the accuracy of forensic and population genetics studies using mtDNA data.

Main Methods:

  • Developed SAM, a string-based search algorithm.
  • Converted query and database mtDNA sequences into position-free nucleotide strings.
  • Incorporated flexibility for phylogenetic data and site-specific mutation rates.

Main Results:

  • SAM eliminates the possibility of missing identical sequences in database queries.
  • The algorithm addresses mtDNA-specific features like insertion and deletion events.
  • Ensures unbiased interpretation of mtDNA data by standardizing sequence comparison.

Conclusions:

  • SAM provides a robust solution for accurate mtDNA haplotype analysis.
  • The algorithm enhances the reliability of forensic and population genetics research.
  • SAM offers flexibility for incorporating advanced biological information for refined mtDNA data interpretation.