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:
Citing information:
- Hao Lu, Luyu Ma, Cheng Quan, Lei Li, Yiming Lu, Gangqiao Zhou, Chenggang Zhang, RegVar: Tissue-specific Prioritization of Noncoding Regulatory Variants, Genomics, Proteomics & Bioinformatics, 2021, https://doi.org/10.1016/j.gpb.2021.08.011.