RegVar is a deep neural network-based computational server for prioritizing tissue-specific noncoding regulatory variants. RegVar integrates the sequential, epigenetic and evolutionary profiles of single nucleotide polymorphisms (SNPs) and their potential target genes in 17 human tissues, and gives tissue-specific predictions of regulatory probabilities of the provided SNPs on provided genes.

Resources:

• RegVar 1.0
• RegVar tutorials

Citing information:

• Lu H, Ma L, Quan C, et al. RegVar: Tissue-specific Prioritization of Non-coding Regulatory Variants[J]. Genomics, Proteomics & Bioinformatics, 2023, 21(2): 385-395. https://doi.org/10.1016/j.gpb.2021.08.011.