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Borry M, Hübner A, Rohrlach AB, et al. PyDamage: automated ancient damage identification and estimation for contigs in ancient DNA . PeerJ. 2021;9:e11845doi: 10.7717/peerj.11845.
Borry, M., Hübner, A., Rohrlach, A. B., & Warinner, C. (2021). PyDamage: automated ancient damage identification and estimation for contigs in ancient DNA . PeerJ, 9e11845. https://doi.org/10.7717/peerj.11845
Borry, Maxime, et al. "PyDamage: automated ancient damage identification and estimation for contigs in ancient DNA ." PeerJ vol. 9 (2021): e11845. doi: https://doi.org/10.7717/peerj.11845
Borry M, Hübner A, Rohrlach AB, Warinner C. PyDamage: automated ancient damage identification and estimation for contigs in ancient DNA . PeerJ. 2021 Jul 27;9:e11845. doi: 10.7717/peerj.11845. eCollection 2021. PMID: 34395085; PMCID: PMC8323603.
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PeerJ. 2021 Jul 27;9:e11845. doi: 10.7717/peerj.11845. eCollection 2021.

PyDamage: automated ancient damage identification and estimation for contigs in ancient DNA .

PeerJ

Maxime Borry, Alexander Hübner, Adam B Rohrlach, Christina Warinner

Affiliations

  1. Microbiome Sciences Group, Max Planck Institute for the Science of Human History, Department of Archaeogenetics, Jena, Germany.
  2. Faculty of Biological Sciences, Friedrich-Schiller Universität Jena, Jena, Germany.
  3. Population Genetics Group, Max Planck Institute for the Science of Human History, Department of Archaeogenetics, Jena, Germany.
  4. ARC Centre of Excellence for Mathematical and Statistical Frontiers, The University of Adelaide, Adelaide, Australia.
  5. Department of Anthropology, Harvard University, Cambridge, MA, United States of America.

PMID: 34395085 PMCID: PMC8323603 DOI: 10.7717/peerj.11845

Abstract

DNA

©2021 Borry et al.

Keywords: aDNA; ancient DNA; assembly; automated; damage; de novo; metagenomics

Conflict of interest statement

The authors declare there are no competing interests.

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