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The need to integrate information from multiple linkage maps is a long-standing problem in genetics.
The simulated data illustrate the primary benefit of integrating multiple linkage maps, which is that higher marker densities are possible.
The integration of information from multiple linkage maps for hundreds to thousands of markers is another challenge.
The need to integrate information from multiple linkage maps into a consensus map is a long-standing problem in genetics [ 1, 2].
Although now a relatively simple task, it was previously necessary to consult multiple linkage maps and assess their colinearity to obtain this same information.
The linkage map linked to this page provides comparative illustration of multiple linkage maps that have been obtained using these virtual markers unified into the same contigs; this map is useful for identifying not only the markers that are common among different linkage maps but also possible candidates that can be transferred from other linkage maps (Fig. 3c).
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It is essential to integrate the rapidly growing body of genetic linkage data produced through DArT with the multiple genetic linkage maps for sorghum generated through other marker technologies.
In rainbow trout (Onchorynchus mykiss), multiple generations of linkage maps have been developed using various types of molecular markers, including amplified fragment length polymorphisms (Young et al. 1998; Nichols et al. 2003), single-sequence repeats, or SSR (Rexroad et al. 2008), and SNP (Miller et al. 2011; Lien et al. 2011).
Finally, the establishment of linkage maps for multiple pedigrees within a species is also a prerequisite for multiple pedigree-based QTL detection strategies aiming to identify and validate QTLs in a broad genetic background [ 69- 73].
However, 54 physical map contigs, each with at least two BES markers, were mapped to multiple linkage groups based on conflicting assignments of individual BES markers, suggesting that these physical map contigs may be erroneously constructed or that they fall within duplicated regions of the genome (Table 5).
These "anchor" markers, defining unique loci in genetic linkage maps of multiple species, are gene-based and possess a number of features that make them relatively sparse.
More suggestions(15)
multiple parcellation maps
multiple recombination maps
multiple feature maps
multiple depth maps
multiple linkage signals
multiple component maps
multiple flow maps
multiple pairwise maps
multiple linkage peaks
multiple linkage strategies
multiple mind maps
multiple organization maps
multiple heat maps
multiple linkage types
multiple activation maps
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