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A significant departure from this ratio could indicate documentation or genotyping errors in datasets [54].
This statistic gives a global characterization of gene diversity and does not reveal sampling biases, such as errors in datasets (e.g. chimeric sequences or taxonomically misclassified isolates) or non-uniform population structures (e.g. the existence of independent genetic lineages within a species).
They show that under the default parameters that wcd is more robust and capable of handling errors in datasets without loss of accuracy.
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I believe that there must be a serious error in Dataset 2. Unless I am missing something, the data reported for "starved" and " ad libitum" treatments are identical.
Our results underscore that the advent of phylogenomics must also be accompanied by methods to better analyze these complex datasets [ 38], as some systematic errors in phylogenomic datasets may be difficult to avoid.
In [ 41], statistics about errors in PacBio datasets are shown.
Improved bioinformatics techniques reveal systematic errors in HTS datasets, and their reanalysis opens new perspectives in understanding biodiversity [ 3, 4].
8 Methods to first identify and then correct errors in these datasets would be immensely valuable in the setting of the large-scale genomics projects being performed.
Such work might eventually prompt the development of tools to adequately account for errors in early datasets that no technology can correct.
Measurement errors in biological datasets depend on many factors ranging from inherent biological variability to sample preparation and consistent equipment accuracy [ 32- 34].
From Table 1 and Table 2 it is evident that if there are no errors in the datasets, the accuracy found by applying the different methods is in the range: [97%, 100%].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com