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- May 19, 2019.
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- Version 1 (March 31, 2019 - 18:37).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- J. Víctor Moreno-Mayar1,2,*,‡,
- Thorfinn Sand Korneliussen3,*,
- Anders Albrechtsen4,
- Jyoti Dalal1,2,
- Gabriel Renaud3,
- Rasmus Nielsen5,6 and
- Anna-Sapfo Malaspinas1,2,‡
- 1Department of Computational Biology, University of Lausanne, 1015 Lausanne, Switzerland
- 2Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
- 3Centre for Geogenetics, University of Copenhagen, 1350 Copenhagen, Denmark
- 4The Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
- 5Department of Statistics, University of California, Berkeley, CA 94720, USA
- 6Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
- ↵‡To whom correspondence should be addressed. morenomayar{at}gmail.com, annasapfo.malaspinas{at}unil.ch.
↵* These authors contributed equally to this work.
Posted May 19, 2019.
A likelihood method for estimating present-day human contamination in ancient DNA samples using low-depth haploid chromosome data
