To evaluate qualitative changes induced by this modification of mapping, we built Boolean queries based on MeSH terms: q5 = q4 NOT q3 (Table 1).
Based on this integrated map, we build a full-scale spiking network model of the local cortical microcircuit.
To detect possible effects of daily light hours on the changes in the patterns of water losses and on ρw images and T2 maps, we built a system to provide light into the MRI magnet by using an optical fiber.
Based on the density map, we built an atomic model, which suggests that SmpB interacts with the five nucleotides immediately upstream of the resume codon, thereby determining the correct selection of the reading frame on the ORF of tmRNA.
While steering an MAV towards distant features that we call vistas, we build a map of the environment in a parallel tracking and mapping fashion to infer the wall structure and avoid lateral collisions in real-time.
Since the surface forms are keyterms, we build a mapping dictionary for keyterms, which materializes the possible mappings for a keyterm kt.
We build cognitive maps in the hippocampus, the same area in which episodic memory and future planning take place.
As an example, we built individual maps for the high-density DArT datasets of three populations and evaluated map quality by computing the sum of adjacent recombination fractions (SARF), a sensitive quantifier of map expansion caused by a suboptimal locus order [ 27].
Although Genomic Workbench Standard Edition version 5.0.14 adopts hg18 for gene mapping, we referred to Build 36.3 in the Map Viewer constructed by National Center for Biotechnology Information (http://www.ncbi.nlm.nih.gov/projects/mapview/) for detailed mapping of genes.
We built independent maps of forest cover and landform using a Bayesian classification algorithm and quantitative surface analysis.
In order to decrease the number of false positive findings, we built CNVR-maps using only convergent CNVs detected by two different algorithms found in at least two individuals.
