More recent investigations conducted on data from cancer registries or hospital discharge records (HDR) continue to detect this pattern.
Nevertheless, we were able to detect this pattern in 3 of 14 patients, affecting 19 29% of BM-lymphocytes.
In order to detect this pattern in selection signals, we evaluate the number of haplotypes that derived from each mutation directly from a haplotype network.
Evidence for isolation by distance was only detected in the modern control region sequences; however it is probable that the modern cytochrome b data simply did not have the resolution to detect this pattern.
However, we do not detect this pattern; instead, we find that putatively older alleles are more widespread among species than alleles placed as tips, which are likely to have arisen after the species were separated.
However, Tajima's D and Fu and Li's D and F statistics do not detect this excess, perhaps because these statistics are counterbalanced by an excess of low frequency alleles or because they lack the power to detect this pattern.
However, we did not detect this pattern for lower vertebrate, invertebrate, or plant species; instead, CpG dinucleotides were enriched across all regions of the genome, meaning that we could not detect evidence of higher levels of functional constraint in putative "functional" compared with putative nonfunctional regions of these genomes, though the reasons for this are unclear.
Moreover, we detected this activity pattern specifically in the prototroch-projecting ciliomotor neuron and never in any of the neighboring CD cells.
Again, all three methods are able to detect this coherence pattern (Figure 5, top row), i.e., showing correlations at frequencies f 1 = 10 Hz (from 0 to 8 s) and f 2 = 20 Hz (from 12 to 20 s).
No peaks of impurities were detected from this pattern.
No peaks of other impurity phases are detected from this pattern.
