GTools

GTools implements QTL and eQTL analysis methods in R as an extension of the GeneticTools package to identify quantitative trait loci and associations between genetic variants and gene expression.


Key Features:

  • R-package extension: Implemented in R as an extension of the GeneticTools package for genomic analyses.
  • QTL and eQTL analysis: Supports quantitative trait loci (QTL) mapping and expression quantitative trait loci (eQTL) analysis.
  • Linear Model Approach: Implements a linear-model-based testing framework aligned with standard practices in QTL/eQTL testing.
  • Non-Parametrical Directional Testing Method: Implements the Non-Parametrical Directional Testing Method, a non-parametric approach that provides robustness to data outliers.
  • Figure generation: Includes commands for generating publication-ready figures summarizing QTL and eQTL results.

Scientific Applications:

  • QTL mapping: Identification of genetic loci associated with specific quantitative traits.
  • eQTL analysis: Analysis of associations between genetic variants and gene expression levels.

Methodology:

Analysis methods explicitly include a linear-model testing framework and the Non-Parametrical Directional Testing Method, implemented in R as an extension of GeneticTools.

Topics

Details

Tool Type:
library
Programming Languages:
R, C++
Added:
1/14/2020
Last Updated:
12/3/2020

Operations

Publications

Fischer D. Performing QTL and eQTL Analyses with the R-Package GenomicTools. Methods in Molecular Biology. 2019. doi:10.1007/978-1-0716-0026-9_2. PMID:31849005.

Links