Personal Genome Browser
Personal Genome Browser visualizes and functionally annotates individual genomes to identify and interpret single nucleotide variants (SNVs), insertions/deletions (INDELs), structural variations (SVs), and their predicted effects on genes and phenotypes.
Key Features:
- Comprehensive Functional Annotation: Provides detailed annotations for individual genomes, covering SNVs, INDELs, SVs, genomic features, and phenotype associations.
- Variant Visualization: Visualizes genetic variants using defined symbols and shapes to represent variant types and genomic locations.
- Functional Variant Highlighting: Employs built-in methods and established tools such as SIFT and PolyPhen2 scores to highlight potentially functional variants.
- Risk Evaluation: Scans individual genetic variants across whole genomes, chromosomes, or cytobands to evaluate functional risk and identify high-risk genes linked to phenotypes.
- Data Compatibility: Accepts input files in Variant Call Format (VCF) and Genetic Variation Format (GVF).
Scientific Applications:
- Personalized medicine: Integrates individual genome sequencing data with knowledge bases to support tailored healthcare strategies.
- Disease genetics: Annotates and visualizes genetic variants to study the genetic underpinnings of diseases.
- Therapeutic target identification: Supports identification of potential therapeutic targets by highlighting functionally relevant variants and genes.
- Gene–environment interactions: Facilitates exploration of gene–environment interactions by linking variants to phenotypic associations.
Methodology:
Integrates genomic data with functional annotations derived from established databases, leverages high-throughput sequencing data and computational methods, applies SIFT and PolyPhen2 scores for functional prediction, and accepts VCF and GVF inputs.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 5/16/2017
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Genetic variation analysis
Publications
Juan L, Teng M, Zang T, Hao Y, Wang Z, Yan C, Liu Y, Li J, Zhang T, Wang Y. The personal genome browser: visualizing functions of genetic variants. Nucleic Acids Research. 2014;42(W1):W192-W197. doi:10.1093/nar/gku361. PMID:24799434. PMCID:PMC4086072.