Annotate genetic variants with regulatory data
variant-annotationskillsetup L3★35
ammawla/encode-toolkit ↗What it does
Annotate genomic variants with functional predictions
Best for
Clinical variant interpretation when you need comprehensive functional predictions and disease association.
Inputs
- · VCF file with variants
- · Annotation databases (VEP, ANNOVAR, snpEff)
- · Prediction models (CADD, SIFT, PolyPhen)
Outputs
- · Annotated VCF with effect predictions
- · Functional impact scores
- · Clinvar/OMIM cross-references
Requires
- · VEP/ANNOVAR/snpEff
- · External DBs (gnomAD, ClinVar)
- · Prediction APIs
Preconditions
Valid VCF input, reference genome fasta, annotation DB indices built
Failure modes
Invalid VCF format, reference mismatch, missing DB files, API rate limit exceeded, stale prediction models
Trust signals
- · Multi-database integration
- · Prediction score standardization
- · ClinVar cross-reference
- · Population frequency context (gnomAD)