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As next-generation sequencing becomes the primary source of molecular variation for phylogenetic analyses, sequencing and assembling whole plastomes is more feasible than ever.
There are cases of species existing at low levels of molecular variation for extended periods [ 25, 26], but it is generally believed that genetic factors do impact the capacity of a population to recover from population declines [ 26, 27].
This is because basic phenotypes are easier to explain in terms of molecular variation; for example, it is easier to predict expression levels [ Spielman et al., 2007] from SNP data than it is to predict height [ Visscher et al., 2007].
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We observed that phenotypic and molecular variation are accounted for principally by genotypic differences.
Although genome-wide study of molecular variation and scan for footprints of selection are now routinely reported in major genetical models, candidate gene-centred studies allow for testing of specific hypothesis regarding the evolutionary history of specific functional categories of genes [ 9].
Calculation of Wright's F Statistic at all loci revealed the deviation from Hardy- Weinberg law for molecular variation within the population.
We initially examined the bovine orthologs of genes implicated in human disease for molecular variation associated with the osteopetrosis phenotype.
For example, intercalants and chemotherapeutic analytes are responsible for different molecular variation into nucleic acid molecules.
DArT offers seven key advantages over other widely used methods for detecting molecular variation: First, DArT is a sequence-independent discovery tool that requires no preliminary sequence information such as the identification of candidate loci or time-intensive development and optimization of primers.
Our protocol allows for individual molecular variation to be assessed.
The analysis of molecular variance (AMOVA) is a testing procedure based on permutation analysis for studying molecular variation within species.
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