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Basically, all the annotations with non-overlapping spans are added to the final list of annotations.
The lower left window reflects the list of annotations that have already been entered by other users and allows users to navigate through them as well as to open the annotations for viewing.
access to its spectrum, the complete list of annotations and observations.
Detailed list of annotations are provided in Additional file 7: Table S4.
A full list of annotations with genomic coordinates is available from the authors upon request.
For example, by visualizing the functional cluster subplot (Fig. 6B) it is easier to tease out the relationships between genes and terms than it is with a list of annotations alone.
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A user can browse through the list of annotation and expression value information of selected genes.
A full list of annotation information was included in supplementary table S3, Supplementary Material online.
Additional file 2: List of annotation information of differentially expressed genes among four tea plant cultivars transcriptomes.
In contrast, an object-based approach to data structuring achieves a verbatim representation by directly storing a variable length list of annotation objects of any type (see Data Model).
A schema can be composed of an arbitrary list of annotation types or based on terms pertaining to one or more ontologies.
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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