GenGIS is a bioinformatics application that allows users to merge combine digital map data with information about biological sequences collected from the environment. GenGIS provides a 3D graphical interface in which the user can navigate and explore the data, as well as a Python interface that allows easy scripting of statistical analyses using the Rpy libraries.
We are in the process of writing documentation and squashing bugs in preparation for the first release of GenGIS. The basic framework of the site has been laid out, and updates will be posted as software and documentation become available.
From here you can:
Please cite GenGIS if you use it in your work. Currently the best citation for GenGIS is:
Beiko, R., Whalley, J., Wang, S., Clair, H., Smolyn, G., Churcher, S., Porter, M., Blouin, C., & Brooks, S. (2008). Spatial analysis and visualization of genetic biodiversity. Free and Open Source Software for Geospatial (FOSS4G), Cape Town, South Africa (September-October 2008). (Abstract)
Other papers and conference proceedings related to GenGIS:
GenGIS is in active development and we are interested in discussing all potential applications of this software. We encourage you to send us suggestions for new features. Suggestions, comments, and bug reports can be sent to Rob Beiko (email@example.com). If reporting a bug, please provide as much information as possible and, if possible, a simplified version of the data set which causes the bug. This will allow us to quickly resolve the issue.