GenGIS

{{lead rewrite|date=February 2015}}

{{Infobox software

| name = GenGIS

| screenshot = 200px

| caption = Biodiversity of 19 marine metagenomes from the Global Ocean Sampling Expedition.

| developer = Donovan Parks, Mike Porter, Timothy Mankowski, Suwen Wang, Sylvia Churcher, Alex Keddy, Christian Blouin, Jacqueline Whalley, Stephen Brooks, Rob Beiko

| latest release version = 2.5.3

| latest release date = {{Start date and age|2017|04|22|df=yes}}

| operating system = Windows, Mac OS X

| genre = Bioinformatics

| license = GPL v3

| website = {{URL|http://kiwi.cs.dal.ca/GenGIS/Main_Page}}

}}

GenGIS{{cite journal |last=Parks |first=DH |author2=Porter M |author3=Churcher S |author4=Wang S |author5=Blouin C |author6=Whalley J |author7=Brooks S |author8=Beiko RG |year=2009 |title= GenGIS: A geospatial information system for genomic data |journal= Genome Research |volume= 19|issue= 10|pages=1896–1904 |doi=10.1101/gr.095612.109 |pmid=19635847 |pmc=2765287}} 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.{{cite book |last=Parks |first=DH |author2=Beiko RG |title=2009 17th International Conference on Geoinformatics |chapter=Quantitative visualizations of hierarchically organized data in a geographic context |year=2009 |pages=1–6 |doi=10.1109/GEOINFORMATICS.2009.5293552 |isbn=978-1-4244-4562-2 |s2cid=22986133 }} 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.