PomBase VEP

PomBase VEP annotates and prioritizes genomic variants across coding and non-coding regions to support interpretation of variant consequences.


Key Features:

  • Ensembl Variant Effect Predictor (VEP) basis: Implements the Ensembl Variant Effect Predictor (VEP) functionality for variant consequence annotation and prioritization.
  • Variant types covered: Performs analysis of single nucleotide polymorphisms (SNPs) and other genomic variants in both coding and non-coding regions.
  • Genomic annotations: Leverages an extensive collection of genomic annotations to inform consequence prediction.
  • Consequence export: Exports files that detail consequence types associated with annotated variants.
  • Reproducibility: Produces reproducible annotation outputs suitable for comparison across studies.

Scientific Applications:

  • Genomic studies: Provides precise variant annotation for genome-wide and targeted studies.
  • Personalized medicine: Aids interpretation of variants for clinical assessment and patient-specific analyses.
  • Evolutionary biology: Supports analyses of variant effects relevant to evolutionary and population genetics questions.
  • Functional genomics: Facilitates prioritization of variants for experimental validation in functional studies.

Methodology:

Accepts uploaded sets of single nucleotide polymorphisms (SNPs) in a standardized format, leverages genomic annotations to assign consequence types, and exports files detailing those consequence annotations.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/29/2015
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Variant classification

Publications

McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GRS, Thormann A, Flicek P, Cunningham F. The Ensembl Variant Effect Predictor. Genome Biology. 2016;17(1). doi:10.1186/s13059-016-0974-4. PMID:27268795. PMCID:PMC4893825.

PMID: 27268795
PMCID: PMC4893825
Funding: - Wellcome Trust (GB): WT095908 and WT098051 - Seventh Framework Programme (BE): 200754 (GEN2PHEN), 222664 (Quantomics) - European Union’s Horizon 2020 research and innovation programme: 634143 (MedBioinformatics)

Documentation