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Table 1 Thematic map data used for comparison with the terrain classification of the current study Range Dataset (map) Creator/publisher Subject Map scale/resolution Usage in this study 1 Japan (nationwide) Seamless Digital Geological Map of Japan (SDGM) GSJa (ed).
This analysis takes into account the sizes of the dataset, map or ontology group.
In this dataset, MAP isolates differing by <10 SNPs belonged to different VNTR types 10% of the time.
Additionally, two of the intragenic dataset SNPs from each dataset map to genes CAMK1D (rs11257738 in ADRC and rs17151584 in TGen) and FBXL13 (rs7779121 in ADRC and rs17475512 in TGen).
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To achieve this, we randomly chose reads from each dataset, mapped them to the reference genomes, and analyzed the accuracy achieved with varying coverage.
In this study we used a dataset mapping 33,000 large/hollow oaks, habitat for a guild of saproxylic beetles specialised on oaks at an extent of 10,000 km2.
The combined dataset used for analysis comprises the French dataset described in Section 3.1 and the English dataset mapped to the French scale.
Several proteins in our dataset mapped to the Gene Ontology term "Proteolysis".
We originally encountered the two biases presented above, as well as two additional biases, in the analysis of a dataset mapping transcriptionally engaged polymerase in the context of exon-intron architecture.
We then demonstrate how both these biases are manifested, and can partially be normalized, in analyzing an NGS dataset mapping transcriptionally engaged RNA polymerases in the context of exon-intron architecture.
Figure 3c shows that 80% of the 5'-end tags present within the 5'SOLiD dataset mapped to within 1,000 bp upstream or downstream of the 1,562,911 known TSSs within the DBTSS, an area which comprises only 4.3% of the genome.
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