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@cvaz
cvaz committed Jul 13, 2016
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Expand Up @@ -105,17 +105,21 @@ The first step is choosing the _Distance_ to be used.

![distance](_images/NJ1.png)

The second step is to select the _Criteria_. You can choose between Saitou-Nei and Studier-Keppler criterion.
The second step is to select the _Criteria_ of the tree branch-length minimization. You can choose between Saitou-Nei and Studier-Keppler criterion.

![method](_images/NJ2.png)

A Neighbor Joinning _Output Tab_ will appear and display the results of the application of the chosen method. The information displayed represents the same as the Hierarchical Clustering _Output Tab_.

![output](_images/NJ3.png)

In order to display the view, it is necessary to expand the typing data on the Dataset's tab, if it is not already expanded.

![expand](_images/NJ4.png)

Double clicking on the Neighbor Joinning item will show the display. By default it is represented in the format of a radial tree. The following screenshot summarizes the output for the previous dataset.

![display](_images/NJ4.png)
![display](_images/NJ5.png)

Some features were added to the visualization to improve and facilitate the analysis.
These features are the following:
Expand All @@ -124,5 +128,5 @@ These features are the following:
3. Filter by distance
4. Export image

![display features](_images/NJ5.png)


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