Ramstein_SNPConstraintPrediction_2022

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 September 10, 2026, 18:02 (UTC)
Published April 10, 2026, 21:37 (UTC)
Citation Guillaume P. Ramstein 2022. Ramstein_SNPConstraintPrediction_2022. CyVerse Data Commons. DOI 10.25739/hybz-2957
de_created_date 2022-05-30T10:18:48Z
de_modified_date 2022-06-01T18:03:37Z
identifierType DOI
publisher CyVerse Data Commons
relatedIdentifier 10.1101/2021.09.03.458856, 10.25739/mt8s-2693
resourceType Supporting data and software