RSAT Var-tools

RSAT Var-tools predicts and analyzes the impact of regulatory variants on transcription factor (TF) binding to assess how SNPs in regulatory regions alter gene regulatory activity.


Key Features:

  • Prediction of Regulatory Variants: Predicts regulatory variants that may influence TF binding and helps identify candidate causal SNPs from GWAS.
  • Variation Information Retrieval and Management: Facilitates acquisition and management of variant collections and interconversion between variation file formats.
  • Sequence Retrieval Around Variants: Retrieves sequences surrounding variants to provide genomic context for allele-specific analyses.
  • Motif Scanning Approaches: Performs motif scanning to compute changes in predicted TF binding affinity scores between alleles.
  • Haplotype Analysis Support: Supports haplotype-level analysis to assess combined effects of linked variants on TF binding.

Scientific Applications:

  • GWAS Variant Prioritization: Prioritizes noncoding SNPs from GWAS by predicting their effects on TF binding.
  • Mechanistic Interpretation of Noncoding Variants: Provides allele-specific TF binding predictions to infer molecular mechanisms underlying gene regulation changes associated with phenotypes and diseases.
  • Haplotype-level Regulatory Analysis: Enables analysis of combined variant effects on TF binding across haplotypes for studies of complex traits.
  • Support for Basic and Applied Genomics: Facilitates interpretation of regulatory variation for both fundamental research and applied genomics investigations.

Methodology:

Computational steps explicitly include input of variant collections, interconversion between variation file formats, retrieval of sequences around variants, motif scanning to calculate allele-specific changes in TF binding affinity scores, and optional haplotype-level analysis.

Topics

Details

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

Operations

Data Inputs & Outputs

Genetic variation analysis

Publications

Santana-Garcia W, Rocha-Acevedo M, Ramirez-Navarro L, Mbouamboua Y, Thieffry D, Thomas-Chollier M, Contreras-Moreira B, van Helden J, Medina-Rivera A. RSAT Var-tools: an accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding. Unknown Journal. 2019. doi:10.1101/623090.