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Ganal et al. [ 12] reviewed recent SNP identification methods including DNA arrays, amplicon sequencing, mining existing EST resources, and using sequence data generated with second generation sequencing technologies.
Specifically, i) we used a massive amount of data generated with Illumina Next Generation Sequencing (Table 1).
We therefore performed our analyses on the real-time RT-PCR data generated with the Taqman assay, which is generally considered to be more specific.
To investigate this hypothesis, we have analyzed whole polyA+ transcriptome data generated with the Illumina Solexa technology [ 47] and Roche 454 next generation sequencing platforms.
This method focuses on data generated with a hierarchical structure.
The data processing methods are studied and validated by virtual testing data generated with FEM simulations.
Data generated with mobile devices can also be directly imported into the platform.
The dimensions n are chosen from {213,215} for data generated with partial DCT.
Figure 1 First section of CML validated XML data, generated with NWChem usingthe FoX library.
Data generated with the test formulation were compared with original data of the reference according to 90% confidence intervals.
Pattern recognition dependency upon variation of activation energy and desorption heat was evaluated using data generated with perturbed EA.
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