Sentence examples for mapping reveals very from inspiring English sources

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Moreover, μ-Raman mapping reveals very low defect density and high 2D to G band ratio similar to the fingerprint of exfoliated single-layer graphene.

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Altogether, the genetic and FISH comparative maps revealed very high similarities in marker order between the two species both for the macrochromosome CJA01-088, CJand and the microchromosome (CJA09, 10, 11, 13, 14, 15, 17, 18, 19, 20, 24, 26, 27, 28) fractions of the genome.

Furthermore, the integrated map is a robust composite assessment of the white clover genome, being derived from component linkage maps that reveal very similar data in terms of marker order, genome arrangement and map size; despite being based on dissimilar populations and distinct marker sources.

These maps typically reveal very distinct colocalization patterns between particular datasets in specific cell-types.

We have presented RNFL retardation, thickness and birefringence en face maps that reveal very small details that could not be observed in previous studies with PS-OCT [ 25].

T2 mapping reveals changes in collagen orientation.

Two of these key metrics are based on alignments of scaffolds to optical maps and these metrics sometimes revealed very different pictures of assembly quality.

Our examination of sequencing reads mapped to known snRNA loci revealed very few additional reads with mismatches (Supporting Information, Table S1), suggesting that even if other variants exist, their expression is low and does not affect the calculated relative expression level of known snRNA isoforms.

Previous analysis of the mapping population with four AFLP primer combinations revealed very low levels of polymorphism (data not shown).

The student-generated C-maps, which were the catalyst for this study, actually revealed very little of what students know about information flow.

The comparison revealed very large differences among the datasets and indicated that maps employing the CA approach in combination with biome average values (as the IPCC Tier 1 values) and global LC datasets strongly overestimated the biomass stock.

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