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  AuthentiCT: A model of ancient DNA damage to estimate the proportion of present-day DNA contamination

Peyrégne, S., & Peter, B. M. (2020). AuthentiCT: A model of ancient DNA damage to estimate the proportion of present-day DNA contamination. Genome Biology, 21: 246. doi:10.1186/s13059-020-02123-y.

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 Creators:
Peyrégne, Stéphane1, Author              
Peter, Benjamin M.2, Author              
Affiliations:
1Genomes, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2074331              
2Genetic Diversity through Space and Time, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2559696              

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Free keywords: Contamination; Ancient DNA ; Deamination ; Damage patterns
 Abstract: Contamination from present-day DNA is a fundamental issue when studying ancient DNA from historical or archaeological material, and quantifying the amount of contamination is essential for downstream analyses. We present AuthentiCT, a command-line tool to estimate the proportion of present-day DNA contamination in ancient DNA datasets generated from single-stranded DNA libraries. The prediction is based solely on the patterns of post-mortem damage observed on ancient DNA sequences. The method has the power to quantify contamination from as few as 10,000 mapped sequences, making it particularly useful for analysing specimens that are poorly preserved or for which little data is available.

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Language(s): eng - English
 Dates: 2020-09-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1186/s13059-020-02123-y
 Degree: -

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Title: Genome Biology
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 21 Sequence Number: 246 Start / End Page: - Identifier: ISSN: 1474-760X