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Each submenu independently displays (or removes) all genomic/TE annotations at the same time.
When we selected a gene model from different annotations at the same location on the IRGSP v4 genome, we made the priority order of annotations as follows; TIGR5, RAP2, and Affy.
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Although these statistics provide good feedback regarding multiple aspects of a predictor's performance, they do not always address node dependency or the problem of unequal specificity of functional annotations found at the same depth of the graph.
The new potential of RNAseq technology is now revealing some weaknesses of the v1 annotation and at the same time offering the opportunity for a through and systematic study of the grape transcriptome.
All of these annotations are available at the same link as for the P. falciparum contact data (above).
Annotations were compared at the same level (i.e., level 3 or 4) to avoid redundancy-bias linked to the possible non-homogenous depth of the different branches of the GO hierarchy.
At the COG categories level, the numbers of annotations on the same strain were statistically different (pairwise Fisher's exact test, p < 0.05).
Pages are ruled in red; marginal annotations in the same hand in the marginal compartments.
All the annotations in the same cluster are then merged.
Percentages of annotations transferred are with respect to annotations of the same type available in the GPKB; ALL: only annotations transferred, no annotations available in the GPKB.
Furthermore, some annotation terms may appear at the same time for some diseases.
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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