Christopher H. Woelk

TL;DR: In this article, a model-based framework was proposed to search a multiple-sequence alignment for putative recombination break points, quantifying the level of support for their locations, and identifying sequences or clades involved in recombination events.

TL;DR: A likelihood-based model selection procedure that uses a genetic algorithm to search multiple sequence alignments for evidence of recombination breakpoints and identify putative recombinant sequences and is an extensible and intuitive method that can be run efficiently in parallel.

TL;DR: Analysis of over 300 clinical samples demonstrates a significant increase in precision, with an average 5-fold decrease in the coefficient of variation of pol copy numbers and a >20-fold accuracy improvement for 2-LTR circles.

TL;DR: No single in vitro cell model alone is able to capture accurately the ex vivo response characteristics of latently infected T cells from patients, indicating a critical knowledge gap that adversely affects the ability to identify promising treatment compounds and hinders the advancement of drug testing into relevant animal models and clinical trials.

TL;DR: The formation of hollow porous particles provides anew formulation technology for stabilizing suspensions of drugs in hydrofluoroalkane propellants with improved physical stability, content uniformity, and aerosolization efficiency.