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BEAST is a powerful and flexible evolutionary analysis package for molecular sequence variation.
The evolutionary analysis of molecular sequence variation is a statistical enterprise.
Evolution and statistics are two common themes that pervade the modern analysis of molecular sequence variation.
Similarly it is evident that to produce models that accurately describe molecular sequence variation an evolutionary perspective is required.
Population genetic analyses of molecular sequence variation in the aflatoxin gene cluster of A. parasiticus support the latter hypothesis [ 40].
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To the extent that these methods accurately capture biological reality, they provide a powerful means to understand the molecular consequences of sequence variation within and between species.
The two species cannot be reliably distinguished using morphological characters, but are readily identified and distinguished by simple, rapid, and inexpensive molecular protocols based on sequence variation of mitochondrial DNA (mtDNA).
To the extent that the molecular data are sufficient (sequence variation in ITS and two chloroplast loci) in a study of Stachys (Lamiaceae; Salmaki et al. 2013), we know that phytochemical variation (Tundis et al. 2014) is not necessarily congruent with phylogeny.
One representative strategy is based on molecular design, in which amino acid substitution, sequence variation, terminal capping, molecular geometry, and amino acid chirality are considered.
At the molecular level, naturally occurring DNA sequence variation is comprised of single nucleotide polymorphisms (SNPs) or INDELs (insertions/deletions).
Analysis of Molecular Variance of the fungal sequence variation across various taxonomic levels showed that on average 47 % of the symbiont sequence variation occurred between termite genera, 18 % between termite species, and 35%% between colonies within species (Table 2).
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