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Bottom line: vector mapping is powerful.
Toward completing a genome, optical mapping is powerful in rendering the relative order of contigs on the genome, which is called scaffolding.
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As maps are powerful tools, they hold high potentials for visualization of complex phenomena.
Maps are powerful geopolitical tools, which are widely used to represent conflicts over territory, boundaries, citizens, and resources.
The proposed indicators and maps are powerful tools for outcome evaluation and also facilitate benchmarking, i.e. interregional comparisons of landscape qualities, which could be very useful for landscape planning in Europe.
High resolution genetic maps are powerful tools to study genomic organization [ 21, 22].
Linkage and radiation hybrid maps are powerful tools to facilitate discovery of genomic regions and ultimately genes influencing livestock production traits.
Maps are powerful and persuasive and are a useful complement to epidemiological analysis, but they are not a substitute for in depth analysis.
In addition, BAC clone collections and BAC-based contig maps are powerful tools having multiple applications in genomics including positional cloning.
Another important genetic approach, suitable in admixed population, to identify disease risk variants is admixture mapping, which is powerful when the ancestral populations differ both in allele frequencies and disease prevalence.
Depth mapping is a powerful tech, and one that's been pursued by both Apple and its rivals — we're only scraping the surface here.
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