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The functional behavior (an orthogonal aspect) can be mapped to these services during design simulation.
Three features are selected to be mapped to these four components.
For the mining algorithm perspective, the clustering, classification, and frequent pattern mining issues play the vital role of these researches because several data analysis problems can be mapped to these essential issues.
For instance, the smile could be mapped to these parameters: S could map to slow versus fast smiles, I to a gradual versus abrupt smile, R to a symmetric or irregular smile, and E to a small versus large smile.
Since these database functions produce value concepts, value concepts in O can be mapped to these functions as well.
All Illumina sequence reads that could be mapped to these genomic regions were extracted and then aligned to the variable regions by MAFFT with default parameters.
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Nonshape information is mapped to these structures and the shape descriptions.
Since contigs derived from the hybrid assembly were much longer, all of the cellulase ORFs described above were mapped to these long contigs.
TFs extracted from other databases are mapped to these TFs through their SwissProt identifier.
Next, all Illumina reads were mapped to these contigs using gsMapper.
This fact suggested that we should check how many genes were mapped to these pathways.
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