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Nevertheless, the QTL displayed an interesting crossing reaction norm between the two markers: RILs that have alleles from the same parents for both markers have much lower root weight than those that have alleles from alternate parents.
As previously observed, EST microsatellite markers have much potential for work with wild alleles, and for the construction of gene-rich maps [ 13]. EST databases provide a great deal of information on the complexities of gene expression patterns, the functions of transcripts and are useful for the development of molecular markers.
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Recently, genetic markers, particularly mitochondrial DNA (mtDNA -based mtDNA -basede drawn markerstention for early diagnosis of primary breast cancer [8], [9].
Compared to the commonly used multi-allelic microsatellite markers, the bi-allelic SNPs have much lower polymorphic information content (PIC), but this shortcoming may be compensated using a larger number of SNP markers.
Most first-generation maps are much longer than the second-generation map reported here and, of course, have much lower densities of markers.
Genetic markers have also provided much information on the biology of invasive species, such as modes of reproduction (Weeks et al. 1995; Ali et al. 2014; Molins et al. 2014), movement patterns and rates (Bronnenhuber et al. 2011; Kirk et al. 2011; Berthouly-Salazar et al. 2013) and predator prey relationships (Kasper et al. 2004; Blanchet 2012; Valdez-Moreno et al. 2012).
Hayes et al. [ 6] found that 6-marker haplotypes explained more QTL-variance than 4-marker haplotypes, but had much lower proportions of QTL-variance explained by the markers due to lower marker density and lower LD.
Recently available biomarkers, including high-dimensional genomic and proteomic markers, have potential to add much knowledge about disease processes and to add specificity to intervention development and evaluation.
Moreover, markers in the PAR had much lower imputation accuracy than X-specific markers, although the markers on the PAR were about twice as dense as X-specific markers in both the 7K and the 54K data.
So far, the science of predicting a person's health future using genetic markers has not produced much useful information for common diseases, although Dr. Church believes that this will change.
Other markers have also been laid down.
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