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Comparative genomic analysis revealed that 3,254 genes are common and we predicted approximately 250 genes acquired through horizontal gene transfer from different sources including proteobacteria.
Using a combined approach that included the use of RNA-Seq data, we predicted approximately 9,000 protein-coding genes in each of the two strains.
On average we predicted approximately 160,000 SFPs per accession, which is equivalent to about one SFP per 750 bp of genomic sequence in each pair-wise comparison of an accession with the reference.
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We predict approximately 1,500 novel structured RNAs in intergenic regions which overlap embryonic transcriptional fragments, as well as 3,000 in 3' and 5' UTRs of protein-coding genes.
We assembled a 33 Mbp genome in 45 scaffolds, and predicted approximately 8,884 genes.
Perhaps most striking in these findings is that we were able to create a multivariate linear regression model that predicted approximately 20% of the variance in overall LOT-R scores.
Nodal eigenvector centrality, a measure of regional network integration, predicted approximately 60% of the variance in naming.
This result was in good agreement with the U speciation modeling performed on the sample taken from the 2.3 m depth, which predicted approximately 3% DOC-complexed U.
This model predicted approximately 60% of myocardial washout (p < 0.001).
This model predicted approximately 37% of the variation in myocardial washout (p < 0.001).
The hierarchical classification system predicted approximately 60%% of subjects correctly with respect to impaired OHRQoL.
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