Sentence examples for molecular age estimation from inspiring English sources
Aiming at improving the accuracy of molecular age estimation from blood, we investigated different types of biomarkers.
While the new and some previous findings are highly promising, before molecular age estimation can eventually meet forensic practice, the proposed biomarkers should be tested further in larger sets of blood samples from both healthy and unhealthy individuals, and markers and genotyping methods shall be validated to meet forensic standards.
One clade that has been the subject of numerous studies of molecular age estimation is Bovidae, or the clade comprising antelopes, oxen, sheep, and goats.
Molecular age estimation is of particular importance for evolutionary events for which the fossil record is incomplete, ambiguous, or even totally unknown.
In the whale-fall bathymodiolin bivalves of the genera Adipicola and Idas, the divergence time (<30 Mya, the middle Oligocene) is synchronous with the major radiation of unequivocally oceanic whales [ 32, 33], based on molecular age estimation (inferred from [ 26, 34]) and the fossil records [ 35].
The summed square (SS) values of the deviations between molecular age estimations and the fossil constraint's age for each node are plotted in Figure 6.
Concurring with archeological estimations (McDougall et al. 2005), mtDNA-derived molecular genetic age estimations place modern human emergence around 200 ka (Behar et al. 2008).
Overall, our study provides new and confirms previously suggested molecular biomarkers for age estimation from blood.
The development of molecular methods for age estimation allowing to use human specimens that possess no morphological age information, such as bloodstains, is extremely valuable as this type of samples is commonly found at crime scenes.
We addressed these issues using a molecular phylogenetic approach, including Bayesian age estimation and various ancestral area analyses, on a multi-locus dataset.
The age estimation was treated with an RMS age estimation error.
