Prediction of evolutionary constraint by genomic annotations improves prioritization of causal variants in maize

Supporting data for "Prediction of evolutionary constraint by genomic annotations improves prioritization of causal variants in maize" (https://doi.org/10.1101/2021.09.03.458856). Computational annotations about single-nucleotide polymorphisms (SNPs) and genes are used to predict nucleotide conservation across Angiosperms. Experimental annotations at SNPs and genes (within-species conservation, chromatin accessibility, gene expression and gene ontology enrichment) are used to validate predictions in maize..

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Author Guillaume P. Ramstein
Last Updated June 23, 2024, 17:06 (UTC)
Created June 23, 2024, 17:06 (UTC)
Citation Guillaume P. Ramstein 2021. Prediction of evolutionary constraint by genomic annotations improves prioritization of causal variants in maize. CyVerse Data Commons. DOI 10.25739/mt8s-2693
Date created in discovery environment 2021-12-13 11:01:33
Date last modified in discovery environment 2022-06-06 15:47:26
identifierType DOI
is_deprecated true
publisher CyVerse Data Commons
relatedIdentifier 10.25739/hybz-2957
resourceType Genomic annotations; Machine learning models