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.

Documentation