The VTG uses a broad definition of the term "Scientific Visualization". To make sense of and learn from any piece of data, it is necessary to choose what to look at and to change its form into one that can be perceived visually. In its most simple form, this might mean taking data which has been read from some instrument, choosing how many decimal places are significant, and then displaying those numbers in a table. In a much more complex scenario, high-dimensional genetic sequence data may have to be heavily processed through correlation and dimensionality reduction routines before data can be represented on a 2D piece of paper or computer screen, or before important relationships can be seen and extracted. In between these extremes might lie the cases where effective 2D (graphs or images) or 3D representations of data must be generated so that results can be validated and communicated.

Scientific Visualization projects in which VTG is involved are described here .