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By using such additional charges, we have modeled a very common situation when an "additional" electron introduced into a real CNT by the NC impurity is compensated by an additional charge +1e of defect created somewhere far from the NC site at the stage of synthesis (such compensating defects were not modeled explicitly in our clusters).
Finally, we compared the promoter sequences included in our clusters.
Based on the number of connections (score >500) per protein, we determined whether the proteins encoded by the genes included in our clusters were specifically connected compared other C. burnetii proteins, but no significant differences were found (Figure S3 and Table S6).
For the ortholog clustering method, 655 of the 676 yeast homologs were included in our clusters.
We then compared the mean recombination rate of the genes in our clusters to the genome average.
The distances between precursors in our clusters were in most cases small and most often less than five kb.
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We validate the accuracy of our model against data gathered by thermal sensors in our cluster.
The stay time of a cluster member plays a key role in our cluster maintenance algorithm.
The experimental setup that we had, consisted of differently configured machines in our cluster.
In our clustering approach, we aim at maximizing the fitness function or equivalently maximizing the Euclidian distance among clusters.
I think the businessmen in our cluster would actually be very happy to work with a lot of the partners…".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com