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Updated: May 3, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
Site stripping based on likelihood ratio reduction is a useful tool to evaluate the impact of non-clock-like behavior
Philippe Lemey1, Marco Salemi, Bin Wang
1Rega Institute for Medical Research, KU Leuven, Minderbroedersstraat 10, B-3000, Leuven, Belgium. philippe.lemey@uz.keuleuven.ac.be
Abstract:
The site stripping for clock detection procedure was implemented in the recently developed maximum likelihood framework for estimating evolutionary rates and divergence times in measurably evolving populations. The method was used to investigate the effect of rate variability on estimating divergence times in non-clock-like trees for human immunodeficiency viruses and hepatitis C viruses. We validate our approach by comparing dated coalescent nodes in molecular phylogenies with known dates of transmission. Our method was able to rapidly recover clock-like behavior and to indicate the presence and direction of a bias when estimates of divergence times using the unstripped data were flawed.
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