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Application of new genomic methods is likely to lead to the discovery of many additional supergenes in a broad range of organisms and reveal similar genetic architectures for convergently evolved phenotypes.
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In this study, comparative genomic methods are used to evaluate the full proviral genome of two geographically distinct FIV subtypes isolated from free-ranging lions.
Comparative genomic methods were employed to examine whether the YLS genome exhibited signs of increased genetic drift and whether the genome of the symbiont appears to have expanded as predicted by the mutation hazard model of Lynch and Conery (2003).
Moreover, historically, morphological and physiological considerations such as these seem to have been less than decisive: it wasn't until genomic methods were employed that the endosymbiotic origin of mitochondria and chloroplasts was truly resolved (Sapp 1994, pp. 179 191).
Comparative genomic methods are vast in number as well as function.
No experimental, sequence alignment or comparative genomic methods are available for identifying new effectors.
However, comparative genomic methods are very sensitive to the quality of underlying alignments, and even slight inaccuracies may lead to artifacts in the results of comparative methods.
These results demonstrate that the comparative genomic method is a valuable tool for identifying new specific targets, a necessary step for developing rapid and accurate detection methods for foodborne pathogens.
Statistical genetics shows that the success of both genetic association studies and genomic prediction methods is positively associated with the heritability of the trait used in the analysis.
Two genomic selection methods were used for GEBV estimation, MixP [ 17] and GBLUP (Genomic best linear unbiased prediction) [ 13].
Since genomic selection methods were introduced [ 1], single nucleotide polymorphisms (SNPs) are usually used to perform genomic prediction, each as an individual explanatory variable independent from each other.
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