VCF-Server

VCF-Server manages, annotates, filters, and enables interactive analysis of genetic variant data in VCF format generated by next-generation sequencing (NGS) for variant prioritization and downstream investigation.


Key Features:

  • VCF and NGS support: Handles variant data in VCF format produced by next-generation sequencing (NGS) workflows.
  • Centralized data management: Provides centralized storage and management of variant datasets.
  • Annotation capabilities: Annotates VCF files using commonly used databases or custom-defined annotations, including blacklists and whitelists.
  • Interactive visualization: Offers visual representation of variant information to support exploration and interpretation.
  • Flexible filtering and prioritization: Applies flexible filtering rules to prioritize clinically or scientifically relevant variants.
  • Querying and export: Supports interactive querying of variant data and export of prioritized variants for downstream analysis.

Scientific Applications:

  • Genetic diagnosis: Facilitates diagnosis of genetic disorders through variant discovery and prioritization from NGS-derived VCFs.
  • Disease etiology investigation: Supports investigation of disease etiology via analysis and annotation of genetic variants.
  • Large-scale dataset mining: Enables mining and management of large-scale mutation datasets for research and clinical genomics.

Methodology:

Upload VCF files, annotate variants using common databases or custom annotations (including blacklists and whitelists), apply filtering rules to prioritize variants, perform interactive queries and visualization, and export selected variants.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Jiang J, Gu J, Zhao T, Lu H. VCF‐Server: A web‐based visualization tool for high‐throughput variant data mining and management. Molecular Genetics & Genomic Medicine. 2019;7(7). doi:10.1002/mgg3.641. PMID:31127704. PMCID:PMC6625089.

PMID: 31127704
PMCID: PMC6625089
Funding: - Science and Technology Commission of Shanghai Municipality: 17DZ 22512000 - National Natural Science Foundation of China: 31728012

Documentation

Links