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mapDamage: testing for damage patterns in ancient DNA sequences.

Aurelien Ginolhac1, Morten Rasmussen, M Thomas P Gilbert

  • 1Centre for Geogenetics, Natural History Museum of Denmark, Copenhagen University, 1350 København K, Denmark. aginolhac@snm.ku.dk

Bioinformatics (Oxford, England)
|June 11, 2011
PubMed
Summary
This summary is machine-generated.

Ancient DNA analysis can be validated by identifying DNA damage patterns. The mapDamage tool detects these signatures in sequencing reads, distinguishing genuine ancient DNA from contaminants.

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Area of Science:

  • Paleogenomics
  • Bioinformatics

Background:

  • Ancient DNA (aDNA) extracts are complex mixtures of endogenous DNA and microbial contaminants.
  • Endogenous DNA fragments exhibit characteristic damage patterns, including nucleotide misincorporations and fragmentation.

Purpose of the Study:

  • To introduce mapDamage, a computational tool for assessing ancient DNA authenticity.
  • To leverage DNA damage signatures for distinguishing genuine aDNA from contaminants.

Main Methods:

  • mapDamage is a Perl script that analyzes next-generation sequencing reads mapped to a reference genome.
  • It quantifies nucleotide misincorporation and fragmentation patterns.
  • R scripts are used to process mapDamage outputs and identify authentic aDNA signatures.

Main Results:

  • mapDamage effectively computes characteristic DNA damage patterns.
  • These patterns serve as indicators of genuine ancient DNA sequences.
  • The tool aids in the validation of aDNA data.

Conclusions:

  • DNA damage patterns in sequencing reads are crucial for validating ancient DNA.
  • mapDamage provides a robust computational method for detecting these patterns.
  • This facilitates more reliable ancient DNA research.