Introduction: Identification = Locating + Labeling
TreeDyn enables graphical analysis
according to two directions: localisation or labelisation (Figure 1).
Localisation enables the selection of leaves names and
then finds out the coresponding graphical elements.
Labelisation enables the selection of graphical elements such
as subtrees, and then finds out what are the corresponding
leaves names. A graphical operation must be selected for highlighting items, such as
switching the foreground color to green, update leaves names to a given font and so on.
TreeDyn enables localisation and labelisation operations using information linked to leaves (Figure 2).
This information, either quantitative (for instance latitude, longitude, etc.) or
qualitative (country names for instance), is organize within a leaves*variables data matrix. Using
the "Identification panel" of TreeDyn, the user can load such labels matrix and querying these data for having elaborated localisations or labelisations. For instance, switching the foreground color to green of graphical items (leaves, subtree)
linked to leaves of a given country.
 |
 |
Figure 1
User's selection of items from a list and highlighting the corresponding graphical elements
is called localisation. User's selection of graphical items and highlighting the corresponding elements from a list
is called labelisation. The highlighting operation works on leaves or subtrees, it can operate on graphical variables such as foreground or background colors, font, line (width, dash) or adding symbols, annotations, shrinking/collapsing items and so on.
|
Figure 2
Identification (Localisation and Labelisation) is powerfull when used in conjonction
with information linked to leaves. A species phylogeny can be linked to biosystematic data, geographical or epidemiological information.
A classification tree of genes, proteins or DNA array data can be associated to data such as molecular functions, cellular roles,
functionnal categories etc.
|
|