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Tumorigenic ability of total population and isolated CD44+ and CD44– EC fractions was comparatively analyzed by the described above method of culturing in vivo.
In addition to methods #1, #2, and #3 described above, method #4 (developed for wildlife samples) can also be used.
Samples genotyped as ECP562CC by the TaqMan® method described above (Method 1) were re-genotyped after amplification of a 870 base pair (bp) fragment of the ECP gene by PCR, followed by the TaqMan 5'nuclease Allelic Discrimination assay (Method 2, Table 2).
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Analysis of total phenolics in field sampled leaf tissues was performed as described above (Methods; Greenhouse Experiment, Total Phenolics Assay).
The necessity of using a combination of two described above methods for detecting putative HGTs resulted from the fact that neither the non-redundant (nr) nor our local database included all taxa of interest.
In order to test a possible association of chromatin signals with the changes in splicing patterns, we built a binary classification model to separate inclusion from skipping events, selecting the predictors from the 120 attributes described above (Methods).
Statisticians from each of these groups followed the methods described above as closely as possible.
The methods described above are for the base-case analysis.
In either of these programs most of the statistical methods described above are available.
The graph-theory based network analysis methods described above are statistical.
In this section, the methods described above are applied to a real dataset.
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