Skip to content

mulinlab/VarNote

Repository files navigation

VarNote

VarNote is a tool to rapidly annotate genome-scale variants from large and complex functional annotation resources. VarNote is equipped by a novel index system and a parallel random-sweep searching algorithm. It shows substantial performance improvements to annotate human genetic variants at different scales. VarNote supports both region-based and allele-specific annotations for different file formats and equips many advanced functions for flexible annotations extraction. By integrating massive allele-specific annotations and our functional/pathogenic regulatory variant prediction models in VarNote web portal, biologists and clinicians can simply achieve fast and comprehensive functional/pathogenic regulatory variant/mutation prioritization using genome-scale inputs. Please visit http://mulinlab.org/varnote.

  • Install, Quick Start and Usage
  • VarNote Applications: The advanced features of VarNote enable it can be extended to efficiently annotate and prioritize whole-genome non-coding variants in different genetic studies, such as GWAS downstream analysis and whole-genome sequencing of patients with inherited diseases. We leveraged VarNote programming APIs and large-scale variant annotations to provide three commonly-used applications, including:
    • VarNote-REG: prioritization of likely causal regulatory variants from GWAS results;
    • VarNote-PAT: prioritization of rare pathogenic regulatory variants from WES/WGS of patients with inherited diseases;
    • VarNote-CAN: prioritization of cancer driver regulatory mutations from tumor sequencing results.
  • We welcome any discussion, suggestion and potential contribution of new functional prediction scores through github or contact Dr. Mulin Jun Li (mulinli{at}connect.hku.hk).

Citation

Huang D, Yi X, Zhou Y, Yao H, Xu H, Wang J, Zhang S, Nong W, Wang P, Shi L, Xuan C, Li M, Wang J, Li W, Kwan HS, Sham PC, Wang K, Li MJ. Ultrafast and scalable variant annotation and prioritization with big functional genomics data. Genome Res. 2020 Dec;30(12):1789-1801.

Copyright

Copyright (c) Mulinlab@Tianjin Medical University 2016-2020. All rights reserved.