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The easiest way to avoid interference between two technologies is to operate both technologies on non-overlapping channels.
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The culture of a scientific and engineering community also influences how the similarities between two technologies are defined.
But no matter which approach comes out on top, competition between the two technologies is sure to foster continued innovation, and a growing supply of clean electricity, in the years to come.
The division between these two technologies is usually quite clear, although some processes use both together.
However, the difference between the two technologies is expected to affect a number of issues related to efficient resource use.
This relation between the two technologies is economic and not technical, as the efficiency and power generation of the technologies are not correlated.
The main difference between the two technologies is the key solution they provide for the distribution problems: local interaction and mobile logic versus location transparency.
We also examined whether the concordance between the two technologies is dependent on whether the sequence match is unique.
We also observed that the concordance between the two technologies is much better for fully methylated and unmethylated CpGs than the partially methylated CpGs.
This distinct difference between the two technologies is especially important when sequencing unannotated transcriptomes and detecting alternative splicing; these results accentuate why RNA-Seq has been so successful at both types of analysis [ 15, 18, 44].
In effect, since the ratio in the numbers of reads between the two technologies is 181 (see Additional file 1: Table S1), which is close to the regression coefficient in Figure 2A, it follows that several genes on which map many thousands of Illumina reads (>10 thousands) are not expected to be tagged by none or so few 454 reads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com