GGBase

GGBase analyzes gene expression data to identify genetic variants that influence gene expression and to support eQTL mapping and genetics-of-expression studies.

Key Features:

• Integration with R: Built on the R programming language and leverages R's statistical functions and visualization capabilities for analysis of gene expression data.
• GGtools component: Operates as a specialized component within the GGtools suite for genetics-of-expression workflows.
• Interoperability with Bioconductor: Interoperates with the Bioconductor ecosystem, enabling use with over 934 Bioconductor packages.
• Community contributions: Receives contributions from an interdisciplinary scientific community to extend analysis functionality.
• Formal review and testing: Is subject to Bioconductor's initial review process and ongoing automated testing for software quality.

Scientific Applications:

• Gene expression genetics: Analysis of the genetic architecture underlying gene expression variation.
• Variant-expression association: Identification of genetic variants that influence gene expression levels.
• eQTL mapping: Linking specific genetic variations with changes in gene expression in eQTL studies.
• Complex trait and disease research: Investigating how expression-associated genetic variants contribute to complex traits and diseases.

Methodology:

Integration of statistical models with genomic data, leveraging R's statistical toolset and the Bioconductor package library to construct data analysis pipelines for large-scale genomics datasets.