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

البيانات و الموارد

معلومات إضافية

حقل القيمة
المؤلف Guillaume P. Ramstein
آخر تحديث يونيو 23, 2024, 17:26 (UTC)
أنشئت يونيو 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