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By default, all graphs display in linear scale, but IGB allows you the option to transform a graph into other scales. Select the graph(s) and open the Graph Adjuster tab. Select the type of transformation you would like to perform from the pull-down menu labeled Transform, then click GO. The picture below includes all of the options available (but also includes Natural Log).in IGB. However, many new Plug-ins add more transformation options which then populate this drop down list (see Plug-ins).
IGB duplicates your graph in a new track and applies the selected scale to the new graph; your original graph is not deleted. Note that one of the choices of scale is Copy
Duplicating graphs
You may want to duplicate a graph to experiment with different graph adjustments without losing adjustments that you have already made. The first choice in the Transform drop down menu is Copy (see image of Graph Adjuster tab), which makes a copy of the graph without any transformation. That This can be useful if you want to explore the effects of showing one graph in two graph styles at the same time.
Duplicating graphs
You may want to duplicate a graph to experiment with different graph adjustments without losing adjustments that you have already made.
To duplicate a graph:
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Select the graph, set Transform to Copy and click GO.
Joining and splitting graphs
It is possible to join two or more graphs into a single annotation track. The two graphs will then have a single track tier label and can be moved and adjusted as a group.
To join multiple graphs, select them, then press the Join button in the Advanced portion of the Graph Adjuster panel. To separate graphs that were earlier joined together in this way, select them and press the Split button.
When the tier is in the expanded state, the multiple graphs are shown in separate non-overlapping bands:
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By selecting the single tier label, here labeled "Experiment A", you can easily set the graph style and data range for all these graphs to be identical.
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Combining Graphs Arithmetically
You may need to compare the relative differences in expression levels between two graphs that represent data that occupy the identical genomic position on the chromosome. For example, a graph of cancerous cells will show what's turned on or off when compared to a graph of normal cells. Results that show significantly more or less activity than a control graph for the same region may indicate an area of interest.
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