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However, data set sizes have increased by orders of magnitude, thanks to sequencing technology platforms such as the Roche GS, Ion Torrent and the Illumina series [ 56], each with particular commercial characteristics (e.g. cost and sequencing data yield) [ 57].
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However, data sets used in this field are not comprehensive and the comparison works are not sufficient.
However, data sets of this immense size require special computing expertise to analyze and store information, as they are too large and too complex for conventional software and hardware.
However, data sets do not necessarily have to be complete to provide phylogenetic information.
However, data sets with precise information on the breed composition of animals are lacking.
However, data sets of the outcomes were too incomplete and therefore unsuitable for analysis.
However, data sets used in making predictions between two sample groups may potentially be susceptible to data over-fit.
However, data sets composed of > 15,600 measurements are expected to yield > 770 measurements by chance with p< 0.05.
However, our data set still only represents a small fraction of all metazoan species.
However, the data set are such that the results will therefore be relevant across all healthcare settings worldwide.
However, the data set provides a full continental scale survey using the reasonably favourable distribution of seismicity to Australia.
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