Diverse studies of viral evolution have led to the recognition that the evolutionary rates of viral taxa observed are dependent on the time scale being investigated—with short-term studies giving fast substitution rates, and orders of magnitude lower rates for deep calibrations. Although each of these factors may contribute to this time dependent rate phenomenon, a more fundamental cause should be considered. We sought to test computationally whether the basic phenomena of virus evolution (mutation, replication, and selection) can explain the relationships between the evolutionary and phylogenetic distances. We tested, by computational inference, the hypothesis that the phylogenetic distances between the pairs of sequences are functio...
Estimating viral timescales is fundamental in understanding the evolutionary biology of viruses. Mol...
Viruses evolve rapidly, providing a unique system for understanding the processes that influence rat...
Models of the evolution of DNA sequences typically assume that each position of the sequence evolves...
Estimating the rate of molecular evolution over time is crucial for understanding the processes and ...
<div><p>Although evolution is a multifactorial process, theory posits that the speed of molecular ev...
Viruses evolve within a hierarchy of organisational levels, from cells to host species. We discuss h...
Estimating the rate of nucleotide and amino acid substitutions is fundamental to our understanding o...
Abstract Although molecular mechanisms associated with the generation of mutations are high...
Models of DNA sequence evolution and methods for estimating evolutionary distances are needed for st...
Background: Phylogenetic analyses reveal probable patterns of divergence of present day organisms fr...
Although molecular mechanisms associated with the generation of mutations are highly conserved acros...
Abstract. The study of rates of nucleotide substitution in RNA viruses is central to our understandi...
There is increasing interest in evolutionary algorithms that have variahle-length genomes and/or loc...
Many factors complicate the estimation of time scales for phylogenetic histories, requiring increasi...
Genome sequence data provide rich overlays of information on viral evolutionary history with wide te...
Estimating viral timescales is fundamental in understanding the evolutionary biology of viruses. Mol...
Viruses evolve rapidly, providing a unique system for understanding the processes that influence rat...
Models of the evolution of DNA sequences typically assume that each position of the sequence evolves...
Estimating the rate of molecular evolution over time is crucial for understanding the processes and ...
<div><p>Although evolution is a multifactorial process, theory posits that the speed of molecular ev...
Viruses evolve within a hierarchy of organisational levels, from cells to host species. We discuss h...
Estimating the rate of nucleotide and amino acid substitutions is fundamental to our understanding o...
Abstract Although molecular mechanisms associated with the generation of mutations are high...
Models of DNA sequence evolution and methods for estimating evolutionary distances are needed for st...
Background: Phylogenetic analyses reveal probable patterns of divergence of present day organisms fr...
Although molecular mechanisms associated with the generation of mutations are highly conserved acros...
Abstract. The study of rates of nucleotide substitution in RNA viruses is central to our understandi...
There is increasing interest in evolutionary algorithms that have variahle-length genomes and/or loc...
Many factors complicate the estimation of time scales for phylogenetic histories, requiring increasi...
Genome sequence data provide rich overlays of information on viral evolutionary history with wide te...
Estimating viral timescales is fundamental in understanding the evolutionary biology of viruses. Mol...
Viruses evolve rapidly, providing a unique system for understanding the processes that influence rat...
Models of the evolution of DNA sequences typically assume that each position of the sequence evolves...