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

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-...

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Main Authors: Stéphane Peyrégne, Benjamin M. Peter
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Genome Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13059-020-02123-y
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author Stéphane Peyrégne
Benjamin M. Peter
author_facet Stéphane Peyrégne
Benjamin M. Peter
author_sort Stéphane Peyrégne
collection DOAJ
description 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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spelling doaj.art-4eea26778ce148668fc12daa0510dd442022-12-21T17:17:38ZengBMCGenome Biology1474-760X2020-09-0121111610.1186/s13059-020-02123-yAuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contaminationStéphane Peyrégne0Benjamin M. Peter1Department of Evolutionary Genetics, Max Planck Institute for Evolutionary AnthropologyDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary AnthropologyAbstract 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.http://link.springer.com/article/10.1186/s13059-020-02123-yContaminationAncient DNADeaminationDamage patterns
spellingShingle Stéphane Peyrégne
Benjamin M. Peter
AuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contamination
Genome Biology
Contamination
Ancient DNA
Deamination
Damage patterns
title AuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contamination
title_full AuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contamination
title_fullStr AuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contamination
title_full_unstemmed AuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contamination
title_short AuthentiCT: a model of ancient DNA damage to estimate the proportion of present-day DNA contamination
title_sort authentict a model of ancient dna damage to estimate the proportion of present day dna contamination
topic Contamination
Ancient DNA
Deamination
Damage patterns
url http://link.springer.com/article/10.1186/s13059-020-02123-y
work_keys_str_mv AT stephanepeyregne authentictamodelofancientdnadamagetoestimatetheproportionofpresentdaydnacontamination
AT benjaminmpeter authentictamodelofancientdnadamagetoestimatetheproportionofpresentdaydnacontamination