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This documents the first genomic, bioinformatic, and biological descriptions of the molecular evolution events engendering an emerging pathogenic adenovirus.
Other molecular evolution events are occurring at the same time as the duplication and divergence, such as lateral transfers and gene loss.
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One strategy useful for understanding the function of genes correlates events in their molecular evolution with events occurring in the history of other genes in the same and/or neighboring lineages, and with events recorded in the geological and paleontological records [ 2].
Having a highly accurate, contiguous, and complete genomic representation allows for unprecedented studies on chromosome-scale evolution, as well as of molecular evolution of polyploid events, gene amplifications, haplotype tracking, and mobile element proliferations.
Error in divergence date estimation due to error in branch length estimation can result in flawed conclusions about molecular evolution and historical environmental events leading to speciation.
Furthermore, the small genome sizes and disease importance of RNA viruses make them particularly attractive for research in evolutionary genomics of virus-host interactions, such as molecular evolution of virus speciation events [ 7], and divergence in viral genetic architectures due to host specialization versus generalization [ 8, 9].
Tempo calculations typically rely on fossil records, geological events, and molecular evolution analyses.
The results reported here illustrate a rare example of connection between fundamental events in molecular evolution.
In summary, these results illustrate a rare example of the connection between fundamental events of molecular evolution.
Phylogenetic networks are increasingly featured in modeling of molecular evolution, as evidence of reticulate events such as hybridization, horizontal gene transfer and recombination becomes more prominent.
Finally, we find no signature of episodic molecular evolution related to either speciation events or the K-Pg boundary that could systematically mislead inferences from genetic data.
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