W959
CartograTree Workflows with Tripal API for Association Mapping in Forest Trees

Date: Sunday, January 15, 2017
Time: 4:55 PM
Room: California
Nic Herndon , University of Connecticut, Storrs, CT
Qiaoshan Lin , University of Connecticut, Storrs, CT
Michael Wynne , University of Connecticut, Storrs, CT
Emily Grau , University of Connecticut, Storrs, CT
Stephen P. Ficklin , Washington State University, Pullman, WA
Margaret Staton , University of Tennessee, Knoxville, Clemson, SC
Sook Jung , Washington State University, Pullman, WA
Dorrie Main , Washington State University, Pullman, WA
Alex Feltus , Genetics & Biochemistry, Clemson University, Clemson, SC
Damian Gessler , University of Arizona, Tucson, AZ
Jill L. Wegrzyn , Department of Ecology and Evolutionary Biology - University of Connecticut, Storrs, CT
CartograTree, a web-based framework of genotypic, phenotypic, and environmental data associated with georeferenced forest trees, is designed to enable forest tree researchers to query and analyze these data to determine how genotype and environment influence the phenotype. CartograTree will serve data from the TreeGenes database and other public repositories. Migration of TreeGenes to Tripal will enable data sharing with Hardwood Genomics Web and the Genome Database for Rosaceae. It will also allow for simple and consistent website design, and access to community developed modules. As part of the Tripal Gateway project, we will develop custom workflows to enable association genetics and landscape genomics analysis. Tripal Gateway focuses on interaction with the Galaxy API to develop analytical workflows. Among Tripal-supported databases, data will be queried, transferred rapidly, and integrated for analysis and visualization. Workflows developed in Tripal will implement web services to send the selected data for analysis on high performance computing (HPC) resources at the Texas Advanced Computer Center (TACC). The workflows will have users upload their own data and/or access the data available in the system. The georeferenced trees considered for analysis will be displayed on the map, along with the environmental data, allowing the users to filter the data used for association mapping. Once filtered, the users can select a custom analysis workflow, provide the parameters for that analytical Tripal workflow, and submit the data for analysis via HPC (TACC).