||The lead section of this article may need to be rewritten. (February 2015) (Learn how and when to remove this template message)|
Biodiveristy of 19 marine metagenomes from the Global Ocean Sampling Expedition.
|Developer(s)||Donovan Parks, Mike Porter, Timothy Mankowski, Suwen Wang, Sylvia Churcher, Alex Keddy, Christian Blouin, Jacqueline Whalley, Stephen Brooks, Rob Beiko|
2.4.1 / 2015
|Operating system||Windows, Mac OS X|
GenGIS merges geographic, ecological and phylogenetic biodiversity data in a single interactive visualization and analysis environment. A key feature of GenGIS is the testing of geographic axes that can correspond to routes of migration or gradients that influence community similarity. Data can also be explored using graphical summaries of data on a site-by-site basis, as 3D geophylogenies, or custom visualizations developed using a plugin framework. Standard statistical test such as linear regression and Mantel are provided, and the R statistical language can be accessed directly within GenGIS. Since its release, GenGIS has been used to investigate the phylogeography of viruses and bacteriophages, bacteria, and eukaryotes.
- Parks, DH; Porter M; Churcher S; Wang S; Blouin C; Whalley J; Brooks S; Beiko RG (2009). "GenGIS: A geospatial information system for genomic data". Genome Research. 19: 1896–1904. doi:10.1101/gr.095612.109. PMC . PMID 19635847.
- Parks, DH; Beiko RG (2009). "Quantitative visualizations of hierarchically organized data in a geographic context". Geoinformatics, Fairfax, VA: 1–6.