title: PhyloGeoViz: a web-based program that visualizes genetic data on maps.
abstract: The first step of many population genetic studies is the simple visualization of allele frequencies on a landscape. This basic data exploration can be challenging without proprietary software, and the manual plotting of data is cumbersome and unfeasible at large sample sizes. I present an open source, web-based program that plots any kind of frequency or count data as pie charts in Google Maps (Google Inc., Mountain View, CA). Pie polygons are then exportable to Google Earth (Google Inc.), a free Geographic Information Systems platform. Import of genetic data into Google Earth allows phylogeographers access to a wealth of spatial information layers integral to forming hypotheses and understanding patterns in the data.
authors.affiliation: Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA. etsai@lsu.edu
authors.forename: Yi-Hsin E
authors.initials: YH
authors.lastname: Tsai
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004463:Ecology / Q000379:methods*; D005787:Gene Frequency; D005828:Genetics, Population / Q000379:methods; D040362:Geographic Information Systems; D020407:Internet; D058974:Phylogeography / Q000379:methods*; D012984:Software