GEMINI
GEMINI provides an integrated database and query framework for exploring and interpreting human genetic variation using genome annotations to identify disease-associated variants.
Key Features:
- Annotation Integration: Integrates diverse genome annotations including dbSNP, ENCODE, UCSC, ClinVar, and KEGG into a unified database.
- Flexible Query Composition: Allows construction of complex queries based on sample genotypes, inheritance patterns, and both pre-installed and custom genome annotations.
- Ad Hoc Data Exploration: Supports ad hoc queries and dynamic exploration of variant datasets without predefined analysis pipelines.
- Custom Analysis Support: Exposes a programming interface to perform bespoke analyses against the integrated database.
- Scalability: Scales to personal genomes and family-based studies and supports analyses across thousands of human samples.
- Reproducibility and Flexibility: Provides a reproducible framework for medical genomics research to enable consistent replication and validation of analyses.
Scientific Applications:
- Disease Variant Discovery: Identify genetic variants associated with diseases by querying integrated annotations and genotype data.
- Personal Genome Interpretation: Interpret and prioritize variants in individual genomes using integrated annotations.
- Family-Based Genetic Studies: Analyze inheritance patterns and genotype data in family cohorts to detect segregating variants.
- Population Genetics: Explore genetic variation across cohorts to support population genetics analyses.
- Medical Genomics Research: Provide a standardized, reproducible framework for analyses in medical genomics.
Methodology:
Integrates genome annotations into a unified database and supports complex queries based on sample genotypes and inheritance patterns, ad hoc querying, and a programming interface for custom analyses to enable scalable evaluation of variant datasets.
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 8/20/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Paila U, Chapman BA, Kirchner R, Quinlan AR. GEMINI: Integrative Exploration of Genetic Variation and Genome Annotations. PLoS Computational Biology. 2013;9(7):e1003153. doi:10.1371/journal.pcbi.1003153. PMID:23874191. PMCID:PMC3715403.