mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters
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mapDamage2.0 : fast approximate Bayesian estimates of ancient DNA damage parameters. / Jónsson, Hákon; Ginolhac, Aurélien; Schubert, Mikkel; Johnson, Philip L. F.; Orlando, Ludovic Antoine Alexandre.
I: Bioinformatics, Bind 29, Nr. 13, 01.07.2013, s. 1682-1684.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - mapDamage2.0
T2 - fast approximate Bayesian estimates of ancient DNA damage parameters
AU - Jónsson, Hákon
AU - Ginolhac, Aurélien
AU - Schubert, Mikkel
AU - Johnson, Philip L. F.
AU - Orlando, Ludovic Antoine Alexandre
PY - 2013/7/1
Y1 - 2013/7/1
N2 - 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 mapDamage package that identifies such patterns from next-generation sequencing (NGS) sequence datasets. The absence of formal statistical modeling of the DNA damage process, however, precluded rigorous quantitative comparisons across samples.
AB - 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 mapDamage package that identifies such patterns from next-generation sequencing (NGS) sequence datasets. The absence of formal statistical modeling of the DNA damage process, however, precluded rigorous quantitative comparisons across samples.
U2 - 10.1093/bioinformatics/btt193
DO - 10.1093/bioinformatics/btt193
M3 - Journal article
C2 - 23613487
VL - 29
SP - 1682
EP - 1684
JO - Computer Applications in the Biosciences
JF - Computer Applications in the Biosciences
SN - 1471-2105
IS - 13
ER -
ID: 48869841