GenGIS (pronounced 'Genghis' like Genghis Khan) is a bioinformatics application that allows users to 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.
Below you can find information about the software, data sources, tutorials, and the manual. The manual is still under development but the tutorials give a good overview of how to use the software.
GenGIS 2.2.2 has been released! See below for details.
- Download GenGIS (Windows / Mac)
- Visit the Github repository to get the source code, provide comments and submit pull requests.
- Join our mailing list to keep informed about GenGIS developments
- Download MapMaker (Provides easy access to maps compatible with GenGIS)
- See our list of links for data and application support
In addition to the mailing list and this page, GenGIS announcements are communicated by Rob Beiko (@rob_beiko) on Twitter.
- (April 17, 2014) GenGIS v2.2.2 for Windows and OS X.
- (March 25, 2014) GenGIS v2.2.1 for Windows and OS X.
- (December 17, 2013) GenGIS v2.2.0 for Windows and OS X.
- (November 28, 2013) GenGIS v2.2.0 prerelease for Windows and OS X.
- (August 7, 2013) GenGIS v2.1.1 release for Windows and OS X.
- (April 30, 2013) GenGIS v2.1.0 release for Windows and OS X.
- (July 27, 2012) GenGIS v2.0.2 release for Windows and OS X.
- (April 30, 2012) GenGIS v2.0.1 release for Windows and OS X.
- (March 29, 2012) GenGIS v2.0.0 release for Windows and OS X. What's new in GenGIS 2.0?
- (September 14, 2010) GenGIS v1.08 release for Windows and OS X. A list of new features and bug fixes can be found here.
- (July 6, 2010) GenGIS places 2nd in the iEvoBio visualisation challenge.
Please cite GenGIS if you use it in your work. Currently the best citation for GenGIS is:
Parks DH, Mankowski T, Zangooei S, Porter MS, Armanini DG, Baird DJ, Langille MGI, Beiko RG. 2013. GenGIS 2: Geospatial analysis of traditional and genetic biodiversity, with new gradient algorithms and an extensible plugin framework. PLoS One, 8: 7, e69885. (Article)
Other papers and conference proceedings related to GenGIS:
- Parks DH, Porter M, Churcher S, Wang S, Blouin C, Whalley J, Brooks S and Beiko RG. 2009. GenGIS: A geospatial information system for genomic data. Genome Research, 19: 1896-1904. (Abstract)
- Parks DH, MacDonald NJ, and Beiko RG. 2009. Tracking the evolution and geographic spread of Influenza A. PLoS Currents: Influenza August 27:RRN1014. (Article)
- Parks DH and Beiko RG. 2009. Quantitative visualizations of hierarchically organized data in a geographic context. Geoinformatics 2009, Fairfax, VA. Donovan won the best student paper award for his presentation. (Abstract)
- Beiko RG, Whalley J, Wang S, Clair H, Smolyn G, Churcher S, Porter M, Blouin C, and 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) (Full Paper)
- Wang S, Beiko RG, and Brooks S. 2007. Collapsible 3D Terrains for GIS Visualization. Geovisualization, NUI Maynooth (September 2007). (Full Paper)
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. If reporting a bug, please provide as much information as possible and a simplified version of the data set which causes the bug. This will allow us to quickly resolve the issue.
Funding of GenGIS
The development and deployment of GenGIS has been supported by several organizations:
- Genome Atlantic
- Genome Canada via the Biomonitoring 2.0 Project
- The Dalhousie Centre for Comparative Genomics and Evolutionary Bioinformatics, and the Tula Foundation
- The Natural Sciences and Engineering Research Council of Canada
- The Dalhousie Faculty of Computer Science
The text of this website is available for modification and reuse under the terms of the Creative Commons Attribution-Sharealike 3.0 Unported License and the GNU Free Documentation License (unversioned, with no invariant sections, front-cover texts, or back-cover texts).