mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters
University of Copenhagen · Natural History Museum Aarhus · +1 more institution
Abstract
MOTIVATION: Ancient DNA (aDNA) molecules in fossilized bones and teeth, coprolites, sediments, mummified specimens and museum collections represent fantastic sources of information for evolutionary biologists, revealing the agents of past epidemics and the dynamics of past populations. However, the analysis of aDNA generally faces two major issues. Firstly, sequences consist of a mixture of endogenous and various exogenous backgrounds, mostly microbial. Secondly, high nucleotide misincorporation rates can be observed as a result of severe post-mortem DNA damage. Such misincorporation patterns are instrumental to authenticate ancient sequences versus modern contaminants. We recently developed the user-friendly…
Citation impact
- FWCI
- 29.56
- Percentile
- 100%
- References
- 26
Authors
5- HJHákon JónssonCorresponding
University of Copenhagen, Natural History Museum Aarhus
- AGAurélien Ginolhac
Natural History Museum Aarhus
- MSMikkel Schubert
University of Copenhagen, Natural History Museum Aarhus
- PLPhilip L. Johnson
Emory University
- LOLudovic Orlando
University of Copenhagen, Natural History Museum Aarhus
Topics & keywords
- Bayesian probability
- Computer science
- DNA damage
- DNA
- Algorithm
- Artificial intelligence
- Biology
- Genetics
- Good health and well-being