Integrate functional prediction scores and population frequencies into a structured Hail Table.
npx skills add https://github.com/bigbio/hvantk --skill dbnsfp
Please help me install this Agent Skill. Skill: dbnsfp Source: https://github.com/bigbio/hvantk/tree/main/hvantk/skills/dbnsfp Command: npx skills add https://github.com/bigbio/hvantk --skill dbnsfp
This Skill addresses the challenge of interpreting the functional impact of non-synonymous single nucleotide variants by aggregating diverse prediction scores and population frequencies into a unified, queryable format.
Use the dbnsfp skill to build a variant annotation table from the provided raw input file using the default GRCh38 reference genome.
High-intent search queries and answers about installing and using this skill.
Annotate non-synonymous SNVs by integrating functional prediction scores and population frequency data into a structured Hail Table, normalizing predictor scores to support large-scale genomic variant interpretation workflows.
Structuring transcript-specific pathogenicity scores involves automatically organizing metrics into structured dictionaries keyed by Ensembl transcript ID, allowing researchers to rapidly filter variants in a large cohort by rank-normalized pathogenicity.
Yes, you can use Hail to unify functional prediction scores from tools like SIFT, PolyPhen-2, and REVEL alongside gnomAD and 1000 Genomes population frequencies into one queryable Hail Table for high-performance variant interpretation.
Yes, this variant annotation approach supports the GRCh38 reference genome, enabling researchers to build normalized annotation tables from raw input files for large-scale genomic variant interpretation workflows.
Prioritizing non-circularly trained pathogenicity predictors in variant annotation ensures that only high-confidence scores are used for downstream analysis, preventing artificially inflated performance metrics during cohort variant filtering.
Normalize functional predictor scores for single nucleotide variants by processing raw prediction metrics into standardized rank-normalized pathogenicity metrics within a structured Hail Table for consistent large-scale variant annotation.
bigbioBuild a Hail Table from Interactome Insider BED files for interval-based variant annotation.
ovachieverQuery ClinVar for variant clinical significance via E-utilities and FTP bulk downloads.
bigbioIngest 1000 Genomes VCFs and sample metadata into Hail MatrixTables.
nahisahoIntegrate AlphaMissense, CADD, and SpliceAI to score and classify variant pathogenicity.
