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

Data and Resources

Additional Info

Field Value
Author Guillaume P. Ramstein
Last Updated June 23, 2024, 17:26 (UTC)
Created June 23, 2024, 17:26 (UTC)
Citation Guillaume P. Ramstein 2022. Ramstein_SNPConstraintPrediction_2022. CyVerse Data Commons. DOI 10.25739/hybz-2957
Date created in discovery environment 2022-05-30 10:18:48
Date last modified in discovery environment 2022-06-01 18:03:37
identifierType DOI
publisher CyVerse Data Commons
relatedIdentifier 10.25739/mt8s-2693, 10.1101/2021.09.03.458856
resourceType Supporting data and software