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.

البيانات و الموارد

معلومات إضافية

حقل	القيمة
المؤلف	Carolyn J. Lawrence-Dill
الإصدار	1
آخر تحديث	يونيو 23, 2024, 17:03 (UTC)
أنشئت	يونيو 23, 2024, 17:03 (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
Date created in discovery environment	2023-09-07 23:35:48
Date last modified in discovery environment	2023-10-24 17:54:16
compressedData	true
contributor	Colleen F. Yanarella, Leila Fattel
creatorAffiliation	Iowa State University
format	.xls, .csv.gz, .gaf, .sh, .stat, .stat.gz, .tar.gz, .txt, .vcf.gz, .bin.gz, .xlsx, .png, .pdf, .jpg, .pptx, .out, .R, .py, .csv
fundingReference	Plant Sciences Institute Faculty Scholars Award, Predictive Plant Phenomics NSF Research Traineeship (DGE-1545453), NSF and NSF and USDA-NIFA AI Research Institutes program for AI Institute: for Resilient Agriculture (2021-67021-35329), Iowa State University
identifierType	DOI
publisher	CyVerse Data Commons
resourceType	Spoken Phenotype Analysis