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TCs overlapping at least 20% of the length with exons, introns, repeats and annotated ncRNAs were classified as TCs derived from each of the annotations.
Initially, BEACON collects basic relevant statistics from each of the annotations.
To evaluate the topological properties of each of the annotations, KEGG species networks were used.
In a separate list BEACON provides genes unique to each of the annotations together with their annotation of function.
When a single scientific paper comprises all experimental evidence necessary to support each of the annotations for 'DNA- or TF-binding' and 'Transcription regulation', the evidence codes for these two annotations are transferred to the composite DbTF annotation to a MF 'transcription factor activity' term (see Table 2).
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Each of the annotation values is a centroid of all experimental conditions annotated by this value.
Each of the annotation services attempted to provide protein names for their calls.
In all tools, the input list of genes is mapped to the biological terms in databases, and then statistical analysis examines the enrichment of gene members for each of the annotation terms and corrects for multiple testing [6].
Additional file 1: Table S1 provides locations, revision dates and references for each of the annotation files referred to below.
Direct comparisons of individual genes between each of the annotation releases provide a more accurate measure of the level of change.
We did this by calculating the Euclidean distance between each of the annotation GRMs using the following formula: Where m and p are the corresponding GRMs for each functional class.
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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