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Online Power Spectral Density (PSD) analysis necessitates real-time PSD data conversion is a must.
The data conversion is improved by proportional allocation for those source units that do not fit within a single target unit.
In particular, using asynchronous systems for data conversion is an effective technique in order to reduce power consumption.
The distinction between information resources and their representations, which is considered a key feature of REST, enables the processing resource to choose the most appropriate representation (i.e. no additional data conversion is necessary!) and keep track of the data provenance by simply referring to the data URI and its relevant metadata.
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Base calling and FASTQ data conversion were performed using the Illumina pipeline CASAVA 1.8 package.
Image analysis and data conversion were carried out using the Geomagic software system.
This data conversion was also followed by Ln transformation and Student's t-test analysis.
Standardized data formats greatly eased the workload on our curators in that custom data conversion was not required.
Other necessary steps, such as data cleansing or data conversions, are not part of the main functions as there are other tools available for that purpose.
Most of the data conversions were performed with the use of tools in the Kent source utilities (part of the UCSC Genome Browser source tree; Kent et al. 2002).
All data conversions are done electronically and quality assurance queries are performed to ensure that the electronic conversion was completed successfully, however, no manual data-entry or data editing is performed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com