This project is related to the CviMVP (Model Validation Program) project, which aims to assess Machine Learning Algorithms (MLAs) for understanding and predicting adaptation of organisms to multivariate environments from their DNA sequences. The data here is related to a field experiment validating the results of MLAs predicting responses to common garden conditions at two sites in the Chesapeake Bay, Lewisetta and York River. Briefly, the experiment involved spawning oysters from two selection ...
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Acronyms:
SNP = Single-nucleotide Polymorphism
MLA = Machine Learning Algorithm
LD = Linkage Disequilibrium
NCBI = National Center for Biotechnology Information
DNA = Deoxyribonucleic acid
MVP = Model Validation Program
ABC = Aquaculture Genetics and Breeding Technology Center
VIMS = Virginia Institute of Marine Science
GO = Gene Ontology
This repository is for the manuscript detailing the oyster hatchery to field project.
Bajaj, K., Eppley, M., Rumberger, C., Mongillo, N., Lotterhos, K., Small, J., Carnegie, R., Katsuki, S., Segnitz, Z. (2026). Eastern oyster parent genotypes. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-05-18 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/998738 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.