WHONDRS

WHONDRS provides access to and facilitates analysis of surface water metabolite and microbiome datasets to support metabolomics, geochemical, and model-based investigations of hydrologic, biogeochemical, and microbial processes in river corridors.


Key Features:

  • Data access and searching: Structured access and querying across surface water metabolite and microbiome samples and associated metadata.
  • Data compilation and integration: Compilation and integration of metabolomics, microbiome, and geochemical data types into combined datasets for multi-domain analysis.
  • Visualization: Generation of visualizations to aid interpretation of complex metabolite, microbiome, and geochemical datasets.
  • Exporting: Export of processed and raw datasets for downstream analysis and model development.

Scientific Applications:

  • Model development and prediction: Support for developing mechanistic and data-driven models to predict impacts of hydrologic perturbations on watershed functionality.
  • Hydrobiogeochemical process studies: Investigation of interactions among hydrologic, biogeochemical, and microbial processes in river corridors and responses to perturbations such as dam operations, floods, and droughts.
  • Comparative metabolomics and microbiome surveys: Facilitation of global surveys and comparative analyses of surface water metabolite and microbiome composition across diverse river environments.

Methodology:

Explicit computational methods include advanced metabolomics analysis, compilation and integration of metabolomics, microbiome, and geochemical data (including measurements from EMSL), searching/querying datasets, visualization, data export, and development of mechanistic and data-driven models.

Topics

Details

Programming Languages:
R
Added:
1/18/2021
Last Updated:
3/14/2021

Operations

Publications

Lin X, Ren H, Goldman AE, Stegen JC, Scheibe TD. WHONDRS-GUI: a web application for global survey of surface water metabolites. PeerJ. 2020;8:e9277. doi:10.7717/peerj.9277. PMID:32765964. PMCID:PMC7382364.

PMID: 32765964
PMCID: PMC7382364
Funding: - Scientific Focus Area (SFA) at the Pacific Northwest National Laboratory: DE-AC06-76RLO1830