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While this suggest the possible existence of a general rule for Dicer processing that applies for multiple organisms and not just mammalian precursors, a larger dataset is needed to verify that sequence composition at positions 7 9 nucleotides serves as the primary recognition signal for Dicer.
Statistical comparison between the sequence composition distributions of true miRNAs and negatives for these positions was inconclusive (only position 8 after the end of the mature miRNA had a p value larger than 0.001), suggesting that a larger dataset is needed to verify the possible existence of a 'UUU' signal.
Therefore, a larger dataset is needed to fully differentiate the risk associated with these two B* 39 alleles.
A larger dataset is needed to confirm or refute that temozolomide consistently decreases SP heterogeneity on recurrence.
Finally, replication of our findings in an independent dataset is needed to confirm the implication of the MTHFR A1298C gene polymorphism in the increased risk of atherosclerosis of patients with RA.
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This new dataset was needed to get more reliable results (more per question data) and to specify a few questions that arose from analysing the original data.
Aedes aegypti in Rio could be responding to locally varying intensities of insecticide application and pathogen load that are strong enough to counteract the effect of high gene flow, but the analyses of selection signatures on a more comprehensive dataset are needed to adequately test this hypothesis.
Further investigation on large datasets is needed to confirm these findings.
Further research on different datasets is needed to validate and extend our findings.
For this reason, further generation of comprehensive multi-strain datasets is needed to ensure that conceptual models of dietary response are not genotype-specific or dependent upon the properties of a single mouse genotype.
This further supports the importance of the EphB2 gene in not only AAM with familial PC but also in AAM with sporadic PC, although further validation in other datasets is needed to fully support our association.
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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