GGtools

GGtools performs genome-wide microarray-based analyses to link DNA polymorphisms, including Phase II HapMap genotypes, with mRNA abundance and DNA methylation using R/Bioconductor-compatible frameworks.


Key Features:

  • Data architecture and algorithm interfaces: Provides flexible data architectures and algorithm interfaces for genotyping and expression array data.
  • R/Bioconductor integration: Integrates with R/Bioconductor to leverage statistical methods and analysis frameworks.
  • Phase II HapMap genotype support: Supports Phase II HapMap genotypes as an input genotype resource.
  • Illumina 47K expression assay support: Supports data derived from the Illumina 47K expression assay for transcriptomic measurements.
  • Microarray-based genome- and transcriptome-wide surveys: Performs genome-wide and transcriptome-wide surveys using microarray technology.
  • Association analysis of polymorphisms and expression: Analyzes associations between DNA polymorphisms and mRNA abundance.
  • DNA methylation analysis support: Includes functionality for genetic analysis of DNA methylation alongside gene expression.

Scientific Applications:

  • Genetic association studies: Investigation of associations between DNA polymorphisms and mRNA abundance to study gene regulation.
  • Population genetics analyses: Comparative analyses of genetic and expression data across multiple populations.
  • Transcriptome-wide surveys: Comprehensive analysis of gene expression patterns across the transcriptome.
  • Integrative studies of expression and methylation: Combined analysis of gene expression and DNA methylation to inform functional genomics and disease-related mechanisms.

Methodology:

Employs advanced data processing techniques to manage and analyze large-scale genetic and expression microarray datasets and integrates with R/Bioconductor to apply statistical methods and visualization tools.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/29/2018

Operations

Publications

Carey VJ, Davis AR, Lawrence MF, Gentleman R, Raby BA. Data structures and algorithms for analysis of genetics of gene expression with Bioconductor: GGtools 3.x. Bioinformatics. 2009;25(11):1447-1448. doi:10.1093/bioinformatics/btp169. PMID:19349284. PMCID:PMC2682516.

Documentation

Downloads