The spatial distribution maps were achieved using kriging interpolation.
Ordinary kriged maps were achieved for all studied soil attributes after physico-chemical analyses.
Informative and accurate habitat maps were achieved with an overall accuracy of 88.5% and 83.5% for the group-level and code-level classifications, respectively.
In this paper, automatic plotting of contour maps is achieved by realizing of compatibility of VB6.0, an embedded programming method in VB software, with Surfer 8.0, a powerful plotting function provided by Surfer software.
High quality epitope maps were achieved by performing the assays at concentrations of soluble SA antibody fusions and antibodies that were equivalent to their KD binding values for the hCXCL1WT (2.5 nM for SA129, 100 nM for SA138, 1.5 μM for SA157*, 0.1 nM for Ab275, and 0.25 nM for Ab276).
In the end, a single consensus map, constructed from the most reliable set of individual framework maps, is achieved.
Comparison of the protein maps was achieved using the PD-Quest software according to the manufacturer instructions (BioRad).
If necessary, markers were removed from the analysis until maps were achieved within two mapping rounds, and all markers had a mean χ contribution of ≤ 2.0.
Correction for multiple comparisons in whole-brain maps was achieved through setting a cluster-size criterion, combined with a voxelwise threshold of P < 0.01.
Integration of the resulting contigs with molecular marker maps was achieved by hybridising sequence-tagged probes to the gridded BAC libraries.
