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In rice, a total of 66,433 gene models were annotated in the MSU rice genome annotation database (http://rice.plantbiology.msu.edu/; Ouyang et al. 2007; Kawahara et al. 2013), from which 40,800 non-transposable element (non-TE) and 14,278 TE probes (60 bp each) were designed, and the remaining genes were not suitable for probe design due to the sequence homology of other genes.
More than 79% of the gene models were annotated.
The remaining transcript models were annotated as the Hfq-dependent sRNAs.
A total of 72 (6.5%) of the models were annotated as pseudogenes by the CAs.
In summary, 9,822 unique sequences (corresponding to 5,683 gene models) were annotated in the TES dataset and 12,123 unique sequences (corresponding to 4,122 gene models) were annotated in the VAS dataset (Additional file 2).
The other three gene models were annotated as gene-coding sequences and all had hits to the NCBI non-redundant protein database.
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The virtual parts used to build models are annotated with additional annotations that are not normally associated with synthetic biology model annotation.
MIRIAM annotation ultimately improves interlinking with experimental datasets because components in models are annotated with the same biological identifiers as the datasets.
The UML models are annotated according to the UML Profile for Schedulability, Performance and Time Specification [10].
Feature models are annotated with quality attribute properties and metrics, and then an efficient algorithm is used to deal with the optimization problem.
The top-scoring ab initio models are annotated by structural comparison against the Structural Classification of Proteins (SCOP) fold database.
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