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Even at 50 or 100 K reads, the sum of deviations was rather moderate, opening the perspective that even very small datasets will still guarantee a reasonable quantification result for the main sample ingredients.
To a broader extent, one of the most practical questions researchers want to know in advance is: if different gene models are chosen for RNA-Seq data analysis, what is the chance of obtaining the same quantification result for a given gene?
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For the same reason, the quantification results for sphere S2 (2 ml), although reported here, may not be trusted.
However, our quantification results for scans in air and cold water suggest that our modeling of scatter and attenuation are sufficiently accurate.
The bacterial quantification results for the individuals are showed in Table 2.
This has to be kept in mind when interpreting total mtDNA quantification results for samples displaying both product specific melt-peaks.
The time to compute quantification results for the third use case is negligible.
Summary of SRM-MS quantification results for E-Cadherin, Vimentin, Snail, and Slug.
This not only alters the biological interpretation of the results obtained but also increases the chances of obtaining negative quantification results for samples with low transcript levels.
Additional details of the protein quantification results for the proteins corresponding to the 21 genes are shown in Supplementary Table 1.
Likewise, the difference in gene definition (see Additional file 1: Figure S6) can explain the quantification results for PIGY/PYURF in Table 2.
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