MyGOD : Manipulate your Genomic Observatory Data
MyGOD manipulates and visualizes biodiversity and environmental data from genomic observatories to generate composite graphical representations that integrate metabarcoding, morphology-based biodiversity data, and physico-chemical measurements for downstream ecological analyses.
Key Features:
- Dynamic graphical representations: Generates dynamic composite visualizations that integrate biodiversity datasets with physico-chemical measurements.
- Support for metabarcoding and morphology-based data: Accepts and organizes metabarcoding and morphology-based biodiversity data alongside environmental measurements.
- Data import and storage: Imports new datasets with appropriate permissions and organizes heterogeneous data for storage and downstream analysis.
- Integration of long-term monitoring data: Organizes longitudinal datasets from Marine Genomics Observatories to support temporal analyses of marine ecosystems.
Scientific Applications:
- Marine Genomics Observatory monitoring: Supports long-term monitoring and temporal analysis of marine ecosystem evolution using integrated biodiversity and physico-chemical datasets.
- Multimodal ecological data integration: Enables exploration and interpretation of heterogeneous datasets (metabarcoding, morphology-based, and physico-chemical) to facilitate downstream ecological analyses.
Methodology:
Imports datasets with appropriate permissions, organizes and stores heterogeneous metabarcoding, morphology-based and physico-chemical data, and generates dynamic composite graphical representations integrating these data types.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- web application, workflow
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/30/2025
- Last Updated:
- 1/30/2025
Operations
Publications
ANDRE C, HOEBEKE M, HENRY N, NOEL C, DURAND P, CORRE E. MyGOD : Visualization and analysis interface for marine genomic observatories data. Zenodo [Internet]. 2022Apr12; Available from: https://zenodo.org/record/6451438