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RegVar: tissue-specific prioritization of noncoding regulatory variants

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.

To cite RegVar: 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. doi:10.1016/j.gpb.2021.08.011.

Please enter the information below to run RegVar analysis.

Email address you want the results sent to (Suggested).

Upload a file containing a list of SNP IDs and genes:

A text file containing a list of SNP IDs (indels are currently not supported) and their possible genes is required for batch analysis. The result will be generated based on all pairwise combinations of SNPs and genes no more than 10,000 valid pairs.

Click here to see an example file

Or type SNP ID(s) and gene(s) in the corresponding search boxes:

SNP ID(s) and their possible target gene(s) are accepted as input in the SNP and Gene search box, respectively. Multiple SNP IDs or genes should be delimited by commas, spaces or tabs, and if so, the result will be generated based on all pairwise combinations of SNPs and genes.