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.
PMID: 31849005
Links
Repository
https://github.com/fischuu/GenomicTools