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The relatively low fraction of virus DNA predicted by Combi-BLAST for this dataset indicates a significantly higher sensitivity of the Taxy-Pro approach.
The sharp increase in the number of eQTL discovered up to 1.2 Mb in this dataset indicates that up to this window size, multiple testing correction is outweighed by newly discovered cis-eQTL.
Despite the relatively small number of other gymnosperm FL sequences available for pairwise comparison, the high sequence similarity within this dataset indicates that most of the 6,464 FLcDNAs represent true FL transcripts with complete ORFs and correctly annotated start and stop codons.
The correlation (Pearson's R > 0.83 for 75% of data points) for the set of interacting proteins from this dataset indicates that the signal of correlated evolution is present even in case of orthologous proteins that have not undergone large evolutionary divergence.
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Some weak evidence exists in this dataset indicating that two intestinal cells might be correlated in their division patterns.
Similar to the protein area PCA, PCA of this dataset indicated that the control sample profiles were more homogeneous than the OA sample profiles.
Also the coverage of the contigs is low for this dataset indicating that a larger portion of the contigs are chimeric.
Finally, although the project was originally envisaged as accessing routinely collected [ 54] patient body mass data, initial investigation of this dataset indicated systematic biases and large gaps rendering it unfit for this purpose.
However, the dataset indicates that the transcriptional response to ethanol exposure in the early embryo is multifactorial.
For this study a variable was add to the dataset, indicating whether the participant is an inhabitant of Ghent.
Three microRNAs were variable within the dataset indicating potential regulatory changes that could impact on EC phenotypic differences.
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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