1. Introduction

Forest trees are long-lived and immobile individuals that serve as ideal models to assess population structure and adaptation to the environment. Despite the availability of comprehensive data, the researchers who study them are challenged to integrate data describing genotype, phenotype, and the environment. Towards this goal, the web application Cartograplant was designed and implemented as an open repository and open-source analytic web-based framework for all three. This framework allows query and analysis in a map-based interface to primarily enable association mapping, ecological genomics, and landscape genomics, through high performance computing. The high performance computing and hosted applications are connected to the user queried data via web services. Ontologies implemented for sequence, phenotype, and environmental metrics facilitate these transactions.

1.1. Project members

Member	Institution	Position
Jill Wegrzyn	University of Connecticut	Principal Investigator
Brandon Lind	University of Connecticut	Postdoctoral Scholar
Risharde Ramnath	University of Connecticut	Lead Developer
Emily Grau	University of Connecticut	Lead Database Administrator
Gabe Barrett	University of Connecticut	Developer
Vlad Savitsky	University of Connecticut	Developer
Meghan Myles	University of Connecticut	PhD Student
Phoebe Zhou	University of Connecticut	Curator
Trang Nguyen	University of Connecticut	Curator