e.g. mhealth
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Machine learning has been credited for its ability to harness the predictive power of evolution, using pattern recognition to uncover complex associations between biological processes [32]; therefore, it is well-placed for the novel exploration of interacting eco-evolutionary mechanisms in combination.
JMIR Bioinform Biotech 2024;5:e62747
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The slope of the regression line provides an estimate of the rate of evolution in substitutions per site per year, and the intercept with the time-axis constitutes an estimate of the age of the root. The time-scaled tree along with historical population dynamics were estimated using the BEAST package (version 1.10.4) [33]. Information regarding the time of the most recent common ancestor (t MRCA) and the rate of evolution (represented as substitutions per site per year) were derived from this estimation.
JMIR Public Health Surveill 2024;10:e59604
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The adaptive evolution of more transmissible and virulent COVID-19 variants associated with different acquired mutations over time may lead to increased case counts, increased mortality rates, and reduced effectiveness of general COVID-19 vaccines [4].
JMIR Bioinform Biotech 2022;3(1):e42243
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Therefore, it is essential for us to study the evolution and disparities of attitudes across population groups accompanying the introduction of COVID-19 vaccines.
To identify COVID-19 vaccine-related literature, we searched the World Health Organization COVID-19 database [4] with the keywords “vaccine” and “vaccination.”
J Med Internet Res 2022;24(1):e32394
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Therefore, our proposed study would focus on determining the mutational profile of Lassa virus strains isolated in 2018 and 2019 and to compare them with isolates from previous years, identify gene trees that may serve as surrogates for species trees, and help reconstruct the time-scaled evolution of Lassa virus in Nigeria.
To our knowledge, no studies have reported a marker gene for Lassa virus in Nigeria.
JMIR Res Protoc 2021;10(3):e23015
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Isolating SARS-CoV-2 Strains From Countries in the Same Meridian: Genome Evolutionary Analysis
Hy Phy 2.5.8 (MP) was used to perform recombination analysis by the genetic algorithm recombination detection method and conduct trimming, stop codon removal, and phylogenetic tree and mixed effects model of evolution (MEME) analyses [12]. The MEME web site was used to read JSON output files and generate MEME images and tables.
JMIR Bioinform Biotech 2021;2(1):e25995
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Through this genome analyses and phylogenetic approach, we have attempted to focus on the natural evolution of SARS-Co V-2 from its existing ancestors within the zoonotic reservoir. Furthermore, analyzing the novel mutations accumulated within the viral genome over the period with reference to the Wuhan strains (clade O) will underscore their impact on the structure and function of viral proteins.
JMIR Bioinform Biotech 2020;1(1):e20735
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A Snapshot of SARS-CoV-2 Genome Availability up to April 2020 and its Implications: Data Analysis
Before carrying out any phylogeny-based analysis of virus evolution and spatiotemporal spread, it is crucial to test the quality of the sequence data, since uneven sampling, the presence of phylogenetic noise, and the absence of a temporal signal can affect the reliability of the results (eg, ancestral state reconstructions, molecular clock calibrations) [22]. SARS-Co V-2 full genome alignments generated from sequences in GISAID [23] at different time points were analyzed as follows.
JMIR Public Health Surveill 2020;6(2):e19170
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