Sentence examples for mapping approach identified from inspiring English sources

Our QTL mapping approach identified 72 QTL, some of which confirmed results of previous studies in pigs.

For Family B, an autozygosity mapping approach identified candidate regions on 4q22.1-q22.3 and 10p14-pter, both 7.7 Mb in size.

Buckler and co-workers [ 28], using the nested-association mapping approach identified ca. 50 QTLs for flowering time at relatively high-resolution.

Because the WGS/SNP mapping approach identified more than one gene for seven of the 10 extragenic suppressors, we devised additional tests to identify the locus responsible for the suppression.

Our pathway mapping approach identified 63 P450s as co-expressed with genes placed in the category 'triterpene, sterol, and brassinosteroid metabolism' (LitPath) among them 27 belonging into the category 'triterpene biosynthesis' (from the 'CYPedia' homepage follow the link 'browse pathways' and 'pathway => CYP' to 'LitPath').

Consistent with our previously published QTL map, this new approach identified QTL on linkage groups (LG) 2 and 17, which are congruent with QTL for VAB level and SN on the eye orbit [ 24].

Our mapping approach effectively identified 7.3% of north-central Virginia and western Maryland as exurban development.

A large scale multibreed mapping approach recently identified the mutation as a retrotransposon insertion at 23.4 MB on CFA 18 (Parker et al. 2009).

Using their Core Eukaryotic Genes Mapping Approach, we identified 95 (38%) of the CEGs as complete sequences and found 184 (74%) of them to have at least a partial representation in our assembly.

Following this targeted mapping approach, we identified a total of 60 new bovine gene loci (see Additional file 1, highlighted in red) derived from human gene sequences with known positions on HSA4, and verified and localized them on the comprehensive RH map of BTA6.

The approach identified and mapped the spatial variability of soil-landscape relationships in alluvial and eolian deposits and illustrated the applicability of coupling covariate selection and integration by iPCA, ISODATA classification of integrated data layers, and image segmentation for effective spatial prediction of soil landscape characteristics.