Sentence examples for maps we developed from inspiring English sources

For all pairwise combinations of the four national-scale maps, we developed maps of biomass difference at the pixel scale.

To complement the prior M method for secondary structure inference with tertiary proximity maps, we developed and tested the MOHCA-seq workflow, shown in Figure 1B.

By integrating three component maps, we developed a cucumber consensus map that contained 1,681 loci and anchored 67 RGH loci and 10 cucumber genes.

The Cognitive Maps we developed draw on multiple sets of data: the sketch maps produced by our research participants, our observations and commentary from reconnaissance walks, photographs, information from interviews, and the official cartographic maps of the areas.

For diffusion maps we develop a new inverse map approximation.

For fine mapping, we developed additional polymorphic markers based on the sequence polymorphisms published in the Monsanto Arabidopsis Polymorphism and Ler Sequence Collection [16].

To establish a proteome reference map we developed optimized protocols for protein extraction from tardigrades in the active state and for separation of proteins by high resolution two-dimensional gel electrophoresis.

Using the high-density linkage map, we developed the genome-wide sequences analysis by the integration of high-density genetic map and publically-available Gossypium DNA sequence.

Because of the risk that the length of 16 17 bp is too short to obtain high confidence whole genome wide mapping, we developed a mapping process based on the simulation of enzyme cutting of the DNA.

An FPC map with all the genetic markers that we have assigned to BAC contigs can be viewed and searched online through: http://www.genome.clemson.edu/activities/projects/rainbowTrout The integrated map we developed for the rainbow trout genome will facilitate comparative genomics studies with other salmonids and with model fish species.

Our goal is to extend the work of Chen et al. with respect to the following: Based on their semantic mapping, we develop a more generalized approach for automatically generating entry forms in legacy EHR systems from archetypes.