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The ability to interpret this data can be seen as a new literacy that soon could be as important as grammar and spelling.
This data can be seen in Figure 7.
This data can be seen in another form by examining the fraction of mutations with a given score cutoff that are classified as either deleterious, neutral, or activating (Fig. 2B).
Details of this data can be seen in Table 2.
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A sample of these data can be seen in Figure 8.
In short, a summary of the data can be seen in one view.
Traces generated by the data can be seen in Figure 1, where we have drawn a black point for every pick up and drop off point of a taxi journey considering a 1% sample during January 2013 in the data.
A graphical representation of the data can be seen in Figure 5.
Details of these data can be seen in a previous publication [25].
The descriptive statistics of the data can be seen in Table 1.
Reads were provided from an external server, and a summary of these data can be seen in table 1.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com