Sentence examples for datasets are generated in from inspiring English sources

The datasets are generated in the same way as in Scharl et al. (2010).

Array datasets were generated in duplicate for liver and kidney of all control and treated animals.

Rarefaction curves of various datasets were generated in MOTHUR using a re-sampling without replacement approach.

Two different datasets were generated: in order to analyze the position of the clades within Musaceae with respect to other phylogenetic groups of Zingiberales, dataset 1 comprised ITS1-ITS2 concatenated regions of all diploid Musaceae accessions as well as the known ITS1-ITS2 sequences of closely related families Strelitziaceae, Lowiaceae, Heliconiaceae and Costaceae [75], [76] (Table S4).

All datasets were generated in 100 duplications.

No datasets were generated in this study.

Note that these datasets were generated in an independent laboratory.

Datasets were generated in different input formats using the web application VoSeq v1.7.0 [ 67].

Hierarchical clustering and heatmap of the Pearson correlation coefficient between each pair of datasets were generated in R.

The artificial datasets were generated in the following way: For a given interval of some maximal length ℓ max we computed all possible sub-intervals within this interval.

However, it is important to remember that the two datasets, i.e. the transcript and translation datasets, were generated in two different labs with two different techniques, and it is therefore possible that some of the uncorrelated processes are due to these differences.