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The first Landsat images from 1989, 2001, and 2014 were classified with maximum likelihood classification to produce land cover maps and identify four types of land cover: urban/built-up, agriculture, forest, and water.

The objectives of this study are to examine how relationships between cover crop biomass, assessed using the normalized difference vegetation index (NDVI), and topography depend on the neighborhood size used for deriving topographic attributes and creating NDVI maps; and identify the optimal neighborhood size for correlation and regression analyses.

This test allowed us to combine statistical parametric maps and identify regions of the brain that reach statistical significance in all of the individual test that compose the conjunction analysis.

It can be used to characterize genetic diversity as well as to develop genetic maps and identify markers linked with traits of interest.

DNA markers are now key components of crop improvement programs, and are applied to identify cultivars, analyze genetic diversity, construct linkage maps and identify quantitative trait loci (QTL) [ 13].

By combining macroarray/PCR mapping data with data from BAC end sequencing, DNA fingerprinting, and/or sequencing of BAC pools, one can generate highly accurate physical (DNA sequence) maps and identify minimum BAC tiling paths representing whole or nearly whole chromosomes [ 27].

Similar(54)

Paths are marked on local maps and identified with roadside signs.

Wang et al. ([2011]) resequenced 150 RILs of 93-11/Nipponbare 93-11/Nipponbare-based ultoa-high-density linkage maps and identified 49 QTLs for 14 agronomiconstruct

Locals grouped by tables pored over maps and identified issues they want the Claiborne project to address.

In this paper, we have used an integrative epigenetic, genome imbalance, and gene expression analysis to provide first genomic DNA methylation maps, and identified and validated genes with aberrant DNA methylation in two osteosarcoma cell lines.

Using integrative epigenetic, genome imbalance, and gene expression analyses we provided first genomic DNA methylation maps, and identified and validated genes with aberrant DNA methylation in osteosarcoma cell lines.

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