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Detailed linkage analysis methods have been described previously (Hanson et al. 1998).
The identification of new polymorphisms should: 1) facilitate current swine genetic mapping efforts, 2) enable detailed linkage disequilibrium studies and 3) increase the resolution needed to track quantitative trait loci.
Detailed linkage maps have been produced for all of the world's staple cereal species [ 12], and in forest trees, linkage maps have been produced for many of the most widely-planted species due to their commercial importance as wood and fibre crops [ 1, 13, 14].
However, without further research aimed at the isolation and better understanding of a simply mapped pair of gene sequences, as well as strong arguments as to their precise utility and their detailed linkage to important crop traits, monopoly rights would typically not be granted over such a product (Pray and Naseem [2005]).
The most detailed linkage information in Lepidoptera comes from the domesticated silkworm Bombyx mori, for which a number of linkage maps have been constructed based on RAPD [27], [28], RFLP [29], AFLP [30], microsatellites [31], and BAC sequences [32] [34].
Although we believe that this is a likely consequence of the differences in detailed linkage disequilibrium between the SNP markers and the actual pathogenic allelic variants at many of these chromosomal loci, some of these phase differences are also likely to reflect results that co-occur in the two independent samples by chance.
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In this study, we present detailed genomic linkage data of the first lophotrochozoan Hox cluster and expression patterns for these Hox genes from the polychaete annelid Capitella sp. I during larval and juvenile stages.
The two-point mapping LOD score of framework markers averaged 47.8 across all chromosomes and ranged from 25.5 for 1A to 62.1 for 4A (Table 3).> -wrap-foot> Number of mapped loci (simple sequence repeat, SSR, Diversity Array Technology, DArT, amplified length polymorphisms, and other markers) included in the consensus framework and in the final interpolated map, detailed by linkage group (LG).
Detailed methods for linkage group construction and marker selection were described in [ 33].
However, detailed information on linkage and precise measurements of fitness distributions would be necessary to connect fitness classes and mutation classes.
The possibility of being able to directly identify individuals as well as infer an individual, family, or group identity becomes easier as the data become richer and more detailed through the linkage of different data sets.
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