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

Documentation

Links