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In order to illustrate the validity of our predictions we checked the plant ontology terms (POTs) per group of predicted genes.
To validate our predictions, we checked the orthologous genes of these 39 genes in other phytopathogenic fungi.
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At the end of this prediction step, we checked whether each predicted product (found by applying the chemical transformation to the substrate) is already listed in BRENDA or KEGG, by looking for an identical compound (see Section 2.1).
Moreover, to estimate the accuracy of McPromoter in the prediction of miRNA TSSs we checked an enrichment of the TSSs by pol II using the modENCODE ChIP-seq data.
Though our server focuses on human fungal pathogens adhesin prediction, we also checked its performance on a test set of fungal species not pathogenic for human.
We checked these predictions using publicly available data and obtained evidence suggesting that the development of the primeval life forms up to the stage of the Last Universal Common Ancestor proceeded in zinc-rich settings.
We checked the prediction models' residuals were distributed normally.
We checked our theoretical predictions against simulation results for the three population sizes (Ne = 100, 1000, and 10,000) and the five generations of ancestry we recorded.
In addition, for all three data sets (Table 4), we checked for RNA predictions that co-occur with previously defined conserved non-coding sequences (CNSs) [ 21].
To avoid false prediction, we further check comparing the model simulation against TRADD KO.
With the high statistics of our Monte Carlo results, we check the theoretical predictions of side chain behavior and radial monomer density profile.
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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