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Using a novel dataset matching alliances and patent data for the European ICT industry, we show that alliances are complementary to prior collocation (at both national and sub-national regional level) of firm's R&D labs.
Data from 56,573 patients were screened to extract one complete dataset matching all variables needed to calculate all systems assessed in this study.
All of these genes were identified in our dataset, matching mostly with one or two contigs, except for spook, with 14 contig hits (Fig. 6).
In addition, all rules we selected were considered reliable if the number of cases in the dataset matching the rule was higher than a specified threshold.
In the table, the number of hits for each dataset matching the GO categories contained in the GO slim, normalized to a sample dataset of 30,000 sequences, is displayed.
Data from 56,573 patients entered into the registry between 2002 and 2010 were screened to extract one complete dataset matching all variables needed to calculate all scoring systems and algorithms assessed in this study.
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As a reminder, an r-squared figure captures how closely a dataset matches a linear relationship; an r-squared of 100% means there is a tight linear relationship between the two while one of 0% means there is no relationship.
It is not entirely surprising that our transcript length dataset matches Refseq only half of the time.
203 of the 214 homologs (∼95%) identified by HMMER3 as putative pstC in the 1000 bp dataset matched PF00528, a conserved region between two transmembrane domains in periplasmic substrate binding proteins.
However, only very few genes from the Heliconius dataset matched Z. filipendulae genes belonging to the P450 or UGT multigene families.
Genes (N = 748) in the sex biased expression dataset matched up with the genes that we classified according to the scheme depicted in Figure 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