Getting Started with glue genes#
Installation#
You can install glue genes as a Python package following the instructions for Python Installation.
Brief Introduction to glue#
glue genes is a custom version of the glue Python library to explore relationships within and among related datasets. The main features of glue include:
Linked Statistical Graphics. With glue, users can create scatter plots, histograms and images (2D and 3D) of their data. glue is focused on the brushing and linking paradigm, where selections in any graph propagate to all others.
Flexible linking across data. glue uses the logical links that exist between different data sets to overlay visualizations of different data, and to propagate selections across data sets. These links are specified by the user, and are arbitrarily flexible.
Full scripting capability. glue is written in Python, and built on top of its standard scientific libraries (i.e., Numpy, Matplotlib, Scipy). Users can easily integrate their own Python code for data input, cleaning, and analysis.
The following video gives a 2 minute overview of “the three meanings of glue”.
The full glue documentation is a great resource for learning more about the basic and advanced features of glue.