Carolyn_Lawrence_Dill_Maize_WiDiv_Association_Studies_Dataset_September_2023

This dataset was generated using spoken phenotypic data (DOI 10.25739/pvx4-5j31), genotypic data (DOI 10.6084/m9.figshare.19175888.v1; DOI 10.1093/gigascience/giac080), and Gene Ontology annotations (DOI 10.7946/P2M925). This analysis includes Genome-Wide Association Studies using the Wisconsin Diversity panel. The data include GWAS analysis code and visualizations performed on an HPC and locally.

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Lauks	Vērtība
Autors	Carolyn J. Lawrence-Dill
Versija	1
Pēdējā atjaunināšana	aprīlis 10, 2026, 22:59 (UTC)
Published	aprīlis 10, 2026, 21:36 (UTC)
Citation	Carolyn J. Lawrence-Dill 2023. Carolyn_Lawrence_Dill_Maize_WiDiv_Association_Studies_Dataset_September_2023. CyVerse Data Commons. DOI 10.25739/t8yx-xm08
compressedData	true
contributor	Leila Fattel, Colleen F. Yanarella
creatorAffiliation	Iowa State University
de_created_date	2023-09-07T23:35:48Z
de_modified_date	2023-10-24T17:54:16Z
format	.csv, .py, .R, .out, .pptx, .jpg, .pdf, .png, .xlsx, .bin.gz, .vcf.gz, .txt, .tar.gz, .stat.gz, .stat, .sh, .gaf, .csv.gz, .xls
fundingReference	Iowa State University, NSF and NSF and USDA-NIFA AI Research Institutes program for AI Institute: for Resilient Agriculture (2021-67021-35329), Predictive Plant Phenomics NSF Research Traineeship (DGE-1545453), Plant Sciences Institute Faculty Scholars Award
identifierType	DOI
publisher	CyVerse Data Commons
resourceType	Spoken Phenotype Analysis