Erkan Ozge Buzbas

TL;DR: In this paper, a statistical test based on a measure of haplotype homozygosity (H12) was developed to detect both hard and soft sweeps with similar power, and they used H12 to identify multiple genomic regions that have undergone recent and strong adaptation in a large population sample of fully sequenced Drosophila melanogaster strains from the DGRP.

TL;DR: It is shown that the scientific process may not converge to truth even if scientific results are reproducible and that irreproducible results do not necessarily imply untrue results.

TL;DR: A formal statistical analysis of three popular claims in the metascientific literature is presented, showing how the use and benefits of such formalism can inform and shape debates about such methodological claims.

TL;DR: To the Editor: Human embryonic stem-cell research may lead to new methods of drug discovery, insights into mechanisms of disease, and eventually, cellular therapies, but investigators have been unable to target their research to diverse subgroups of existing lines or to ensure the inclusion of lines from the human populations most relevant to their diseases of interest.

TL;DR: This work presents "approximate approximate Bayesian computation" (AABC), a class of computationally fast inference methods that extends ABC to models in which simulating data is expensive, and demonstrates the performance of AABC on a population-genetic model of natural selection, as well as on a model of the admixture history of hybrid populations.