Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors.

Human genomics - 28 Aug 2024

Lin Yu-Jen, Menon Arul S, Hu Zhiqiang, Brenner Steven E

Abstract excerpt

BACKGROUND: Variant interpretation is essential for identifying patients' disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computational Biology
Share to Databases, Genetic
Share to Genetic Variation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genomics

Share to Polymorphism, Single Nucleotide

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 39198917
DOI: 10.1186/s40246-024-00663-z
PMCID: PMC11360829

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors.PMID 39198917Read ↗

Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictorsSemantic proximity Read ↗

The Ensembl Variant Effect Predictor.Semantic proximity Read ↗

Variant effect predictors: a systematic review and practical guide.Semantic proximity Read ↗

Guidelines for releasing a variant effect predictor.Semantic proximity Read ↗

MOLGENIS VIP: an open-source and modular pipeline for high-throughput and integrated DNA variant analysisSemantic proximity Read ↗

The Ensembl Variant Effect PredictorSemantic proximity Read ↗

PON-P and PON-P2 predictor performance in CAGI challenges: Lessons learned.Semantic proximity Read ↗

GeniePool 2.0: advancing variant analysis through CHM13-T2T, AlphaMissense, gnomAD V4 integration, and variant co-occurrence queries.Semantic proximity Read ↗

The Impact of Clinical and Molecular Variant Properties on Calibration and Performance of Variant Effect Prediction ToolsSemantic proximity Read ↗

VCAT: an integrated variant function annotation tools.Semantic proximity Read ↗

A literature review at genome scale: improving clinical variant assessmentSemantic proximity Read ↗

Assessing performance of pathogenicity predictors using clinically-relevant variant datasetsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.