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Data-driven design of orthogonal protein-protein interactions

Data-driven design of orthogonal protein-protein interactions
science.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from science.org Daily Mail and Mail on Sunday newspapers.

Monte Carlo , Markov Chain Monte Carlo ,

Ribosomes 'Scan' DNA for AUG Codons

Ribosomes 'Scan' DNA for AUG Codons
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

Monte Carlo , Marilyn Kozak , National Natural Science Foundation Of China , Institute Of Genetics , National Key Rd Program Of China , Chinese Academy Of Sciences , Developmental Biology , Chinese Academy , Markov Chain Monte Carlo , National Key Rd Program , National Natural Science Foundation ,

Molecular detection of Ehrlichia spp. in ticks parasitizing wild lagomorphs from Spain: characterization of a novel Ehrlichia species | Parasites & Vectors

Several species belonging to the genus Ehrlichia are considered pathogenic for animals and humans. Although wildlife are known to play an important role in the epidemiology of these bacteria, information on the role of wild lagomorphs in their sylvatic cycle is limited. Thus, the objective of the present study was to assess the occurrence of Ehrlichia spp. in ticks collected from wild lagomorphs in Spanish Mediterranean ecosystems. A total of 1122 pooled ticks (254 pools) collected from 506 wild rabbits (Oryctolagus cuniculus) and 29 Iberian hares (Lepus granatensis) were analysed using a nested PCR assay targeting the partial groEL gene. Ehrlichia spp.-positive samples were further subjected to a second PCR assay targeting 16S rRNA. Three (1.2%) tick pools comprising Rhipicephalus pusillus collected from nine wild rabbits were positive for Ehrlichia spp. All the Ehrlichia DNA sequences were identical, and use of sequence and phylogenetic analyses allowed us to identify a novel Ehrlich ....

United States , Monte Carlo , Spain General , Candidatus Ehrlichia , Markov Chain Monte Carlo , South American ,

Bayesian Analysis with Excel and R

Leverage the Full Power of Bayesian Analysis for Competitive AdvantageBayesian methods can solve problems you cant reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excels Bayesian capabilities and move toward R to do even more.Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. ....

Monte Carlo , Conrad Carlberg , Richard Mcelreath , Microsoft Excel , Markov Chain Monte Carlo ,

A unified global genotyping framework of dengue virus serotype-1 for a stratified coordinated surveillance strategy of dengue epidemics | Infectious Diseases of Poverty

Dengue is the fastest spreading arboviral disease, posing great challenges on global public health. A reproduceable and comparable global genotyping framework for contextualizing spatiotemporal epidemiological data of dengue virus (DENV) is essential for research studies and collaborative surveillance. Targeting DENV-1 spreading prominently in recent decades, by reconciling all qualified complete E gene sequences of 5003 DENV-1 strains with epidemiological information from 78 epidemic countries/areas ranging from 1944 to 2018, we established and characterized a unified global high-resolution genotyping framework using phylogenetics, population genetics, phylogeography, and phylodynamics. The defined framework was discriminated with three hierarchical layers of genotype, subgenotype and clade with respective mean pairwise distances 2–6%, 0.8–2%, and ≤ 0.8%. The global epidemic patterns of DENV-1 showed strong geographic constraints representing stratified spatial ....

United States , South Korea , Republic Of Korea , Koichiro Tamura , Monte Carlo , Sudhir Kumar , Masatoshi Nei , Pennsylvania State University , R Foundation For Statistical Computing , Virus Pathogen Resource , Hierarchical Bayesian Analysis , Population Structure , Tabless B , Bayesian Skyline , Markov Chain Monte Carlo , Trace Tracer , Statistical Computing ,