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Obtaining a comprehensive and accurate dataset of the telecommunications activity in developing regions can be extremely difficult due to security and privacy considerations, limited coverage by any single provider, and the need for a rigorous data capture methodology and infrastructure.
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Nonetheless, these data demonstrate that our capture methodology can identify transcripts below the sensitivity of the tiling array.
Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support.
Harris, P. A. et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support.
Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research.
The characterization of compounds produced in such an automated high throughput process, places significant demands on laboratory workflow; chromatographic methodology; instrument capacity; and data capture, processing and storage.
We compared the ovary capture array data with data generated from tiled genomic microarrays to determine whether our capture methodology could identify a similar expressed gene set.
The study applied semantic data mining as a methodology for an efficient and the consistent data capture, representation, and analysis.
These data demonstrate that there is a strong concordance between the datasets and that the sequence capture methodology is capable of capturing a large percentage of the same genes as traditional RNA-seq.
Passive data capture.
The capture methodology uses in-solution 80-mer oligonucleotides.
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