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This study aims to analyze the contribution of different profiling float arrays to the description of the 3-D large-scale thermohaline fields.
To assess sensitivity and technical variability of different profiling methods from small amounts of RNA, we also analyzed frequencies of outliers.
Such discrepancies may be due to the application of different profiling methods (e.g. microarray, sequencing, qRT-PCR), specimen collection, miRNA preparation, or analytical tools.
This discrepancy may be attributed to several reasons [ 32], the primary being the use of different profiling platforms.
Instead, we made use of the rich resources in viral metagenomics (e.g. Mokili et al., 2012) and chose two viral metagenomes for evaluation of different profiling methods.
The metagenomic dataset we used for comparison of different profiling methods is derived from oil seep metagenome samples as described in (Håvelsrud et al., 2011).
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The study considered three lenses with membranes of different profiles.
In case of an offset between different lanes, the lane position (X-axis of the graph) of different profiles was adjusted using the maximum of the monomer peak observed in all samples as a reference point.
A procedure for calculating homogenized orthotropic plate stiffnesses of the sandwich was developed and applied to a number of different profiles.
The effect of the wet surface, the variable conductivity, and the heat transfer coefficient of different profiles on the temperature and fin efficiencies were studied comparatively.
This study is the first to consider an FGFP with a combination of different profiles and cross-sections in a non-bonded implant-bone interface.
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