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First, querying for taxonomic resolution as in the original data set (maybe with variable resolution), only species, only genera or only family level.
We identified all of the partners reported by the Liang study except Hdac2, and only five Oct4 partners found in the Wang study were not detected in our data set, maybe because of our use of whole extracts.
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Many of these data sets (maybe most of them) are designed to serve the purposes of governments.
Our data shows that upregulated of the RUNX1-RUNX1T1 gene set maybe an important factor contributing to the etiology of ccRCC.
(if the pref is set maybe it should use 1).
Maybe those stories make up their own important data set.
Altogether, our microsatellite data set clearly shows that the Caribbean zone has undergone multiple introductions of W. auropunctata, maybe from the northern coast of South America, represented here by our Guianese samples.
And maybe it's successful enough on that to be worth being tested on a far bigger and tougher data set that could be combined.
That data is a very different types of data set.
Data set updated March 2011.
Eichengreen/Tong data set.
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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