CartograTree

CartograTree integrates geo-referenced environmental, genomic, and phenotypic data to enable spatial visualization, filtering, and analysis for research in forest tree biology.

Key Features:

• Integration with DiversiTree and TreeGenes: Direct integration with DiversiTree and the TreeGenes database provides programmatic access to genomic data linked to geographic coordinates.
• Simple Semantic Web Architecture (SSWAP): Employs Simple Semantic Web Architecture and Protocol (SSWAP) to enable semantic communication between TreeGenes and external web services.
• Geographical visualization: Provides spatial visualization of geo-referenced biotic and abiotic data to explore species distributions and environmental relationships.
• High-performance computing (HPC) resources: Leverages high-performance computing resources to handle large datasets and computationally intensive analyses such as phylogenetics, population structure, and association studies.
• Data gathering, formatting, and filtering: Supports gathering, formatting, and filtering of geo-referenced data to integrate environmental, genomic, and phenotypic datasets.

Scientific Applications:

• Ecology: Investigating spatial ecological patterns and environmental interactions using geo-referenced datasets.
• Physiology: Analyzing physiological trait variation in relation to genetic and environmental factors.
• Evolution: Conducting phylogenetic analyses and examining genetic diversity and population structure across geographic regions.

Methodology:

Connects disparate data sources through a unified workspace using geo-referenced coordinates to join environmental, genomic, and phenotypic data, employs SSWAP for semantic communication between databases and services, and uses HPC resources for large-scale analyses.