Posterior summarization in Bayesian phylogenetics using Tracer 1.7
Cancer is one of the leading causes of death worldwide. There is a definite need for novel
approaches to improve the diagnostics and treatment of cancers. The pathological …
approaches to improve the diagnostics and treatment of cancers. The pathological …
Convergence diagnostics for markov chain monte carlo
V Roy - Annual Review of Statistics and Its Application, 2020 - annualreviews.org
Markov chain Monte Carlo (MCMC) is one of the most useful approaches to scientific
computing because of its flexible construction, ease of use, and generality. Indeed, MCMC is …
computing because of its flexible construction, ease of use, and generality. Indeed, MCMC is …
[HTML][HTML] Emergence of methicillin resistance predates the clinical use of antibiotics
The discovery of antibiotics more than 80 years ago has led to considerable improvements
in human and animal health. Although antibiotic resistance in environmental bacteria is …
in human and animal health. Although antibiotic resistance in environmental bacteria is …
Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK
The United Kingdom's COVID-19 epidemic during early 2020 was one of world's largest and
was unusually well represented by virus genomic sampling. We determined the fine-scale …
was unusually well represented by virus genomic sampling. We determined the fine-scale …
[HTML][HTML] Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil
The first case of COVID-19 was detected in Brazil on 25 February 2020. We report and
contextualize epidemiological, demographic and clinical findings for COVID-19 cases during …
contextualize epidemiological, demographic and clinical findings for COVID-19 cases during …
Rank-normalization, folding, and localization: An improved R ̂ for assessing convergence of MCMC (with discussion)
Abstract Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it
can be challenging to monitor the convergence of an iterative stochastic algorithm. In this …
can be challenging to monitor the convergence of an iterative stochastic algorithm. In this …
[HTML][HTML] A species-level timeline of mammal evolution integrating phylogenomic data
S Álvarez-Carretero, AU Tamuri, M Battini… - Nature, 2022 - nature.com
High-throughput sequencing projects generate genome-scale sequence data for species-
level phylogenies,–. However, state-of-the-art Bayesian methods for inferring timetrees are …
level phylogenies,–. However, state-of-the-art Bayesian methods for inferring timetrees are …
[HTML][HTML] Drivers and dynamics of a massive adaptive radiation in cichlid fishes
Adaptive radiation is the likely source of much of the ecological and morphological diversity
of life,,–. How adaptive radiations proceed and what determines their extent remains unclear …
of life,,–. How adaptive radiations proceed and what determines their extent remains unclear …
The evolution of a tropical biodiversity hotspot
The tropics are the source of most biodiversity yet inadequate sampling obscures answers to
fundamental questions about how this diversity evolves. We leveraged samples assembled …
fundamental questions about how this diversity evolves. We leveraged samples assembled …
The origins and molecular evolution of SARS-CoV-2 lineage B. 1.1. 7 in the UK
The first SARS-CoV-2 variant of concern (VOC) to be designated was lineage B. 1.1. 7, later
labelled by the World Health Organization as Alpha. Originating in early autumn but …
labelled by the World Health Organization as Alpha. Originating in early autumn but …