SnpHub

SnpHub provides an interactive framework for exploration and visualization of large-scale genomic variation data to support analysis across diverse species.


Key Features:

  • Implementation platform: Built on Shiny/R with a pre-building stage that consumes Variant Call Format (VCF) files and genome annotation files.
  • Variant types supported: Supports querying and analysis of Single Nucleotide Polymorphisms (SNPs) and Insertions/Deletions (INDELs) with associated annotation information.
  • Query granularity: Enables access to variants and annotations by locus or gene and within user-defined sample sets.
  • Visualization suite: Provides heatmaps, phylogenetic trees, haplotype networks, and geographical maps for visualization of genomic variation.
  • Sample-specific sequences: Generates sample-specific sequences with SNPs and INDELs integrated into the reference sequence context.

Scientific Applications:

  • Cross-species genomic variation analysis: Facilitates analysis of large-scale variant datasets across diverse species.
  • Wheat and progenitor genomics: Implemented for wheat and its progenitors to support agricultural genomics investigations.
  • Evolutionary and crop-improvement studies: Enables variant querying and visualization applicable to evolutionary analyses and crop improvement efforts.

Methodology:

A pre-building stage integrates Variant Call Format (VCF) files and genome annotation files into a local Shiny/R server environment for retrieval and visualization of genomic variation data.

Topics

Details

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

Operations

Data Inputs & Outputs

Publications

Wang W, Wang Z, Li X, Ni Z, Hu Z, Xin M, Peng H, Yao Y, Sun Q, Guo W. SnpHub: an easy-to-set-up web server framework for exploring large-scale genomic variation data in the post-genomic era with applications in wheat. Unknown Journal. 2019. doi:10.1101/626705.

Documentation

Training material
https://esctrionsit.github.io/snphub_tutorial/
Tutorial material

Links