Indiana mussel metabolomics data analysis
July 11, 2023
This repository contains code to cluster a sample of Mussels based up their metabolic levels via Non-Metric Multidimensional Scaling (NMDS) and distance based-Redundancy Analysis (db-RDA). Mussel sample is broken down and examined by catch location, sex, and species. The code for this project assumes the reader is familiar with R and clustering techniques.
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | Indiana mussel metabolomics data analysis |
| DOI | 10.5066/P9L4IPZE |
| Authors | John W Oliver, Diane L Waller, Joel G Putnam, Richard A Erickson |
| Product Type | Software Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Upper Midwest Environmental Sciences Center |
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Richard Erickson, PhD
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Related Content
Targeted metabolomics characterizes metabolite occurrence and variability in stable freshwater mussel populations
Freshwater mussels (order Unionida) play a key role in freshwater systems as ecosystem engineers and indicators of aquatic ecosystem health. The fauna is globally imperilled due to a diversity of suspected factors; however, causes for many population declines and mortality events remain unconfirmed due partly to limited health assessment tools. Mussel-monitoring activities often rely on population
Authors
Diane L. Waller, Joel Putnam, John Steiner, Brant Fisher, Grant N. Burcham, John W. Oliver, Stephen B. Smith, Richard A. Erickson, Anne Remek, Nancy Bodeker
Diane Waller
Research Fishery Biologist
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Richard Erickson, PhD
Research Ecologist
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Email
Phone