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The underlying principle is to identify intervals where changes in the T-gradient are clearly related to changes in the lithology, and hence changes in the thermal conductivity of the interval.
Pines are well-represented in paleoflora [2], [11], which calibrates dates of divergence among monophyletic groups [12], and this information could be used to identify intervals during which retrotransposons have been introduced or amplified.
In order to identify intervals with uniformly high synchrony in every (local) area, we introduced an SD threshold.
To correct potentially misaligned bases in reads due to the presence of insertions or deletions, the RealignerTargetCreator module is used to identify intervals that require realignment followed by the IndelRealigner module to perform the actual realignment.
Although this suggests that CBX7 is largely absent, we have not included this analysis, as the signal to noise in these published ChIP-seq experiments is not sufficient in our opinion to accurately identify intervals.
Based on annotations retrieved from mirBase (Griffiths-Jones et al., 2008), gtRNAdb (Chan and Lowe, 2009), Ensembl and Refseq, we identify intervals of known ncRNA classes in published deep sequencing data and benchmark our scoring system based on its ability to reassign an interval to its correct class, after its class label has been removed.
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Galvin et al. introduced the MCI test which assesses the listener's ability to detect and identify interval changes between successive tones in a short sequence [4].
Using this registry, we can identify interval carcinomas in the three consecutive screening rounds.
Strategies used to identify interval cancers have been described previously (Duijm et al, 2007).
Files of regional screening records are linked to the corresponding regional cancer registry database to identify interval cancers.
Similarly, tms-compensatability identifies intervals where ms-stability is lost temporarily in case of full-order (optimal) output feedback.
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