dartR
dartR analyzes single nucleotide polymorphisms (SNPs) and dominant markers (presence/absence of amplified sequence tags) to perform data quality control, marker selection, and downstream population genetic analyses for conservation, ecology, and agriculture.
Key Features:
- SNP and Dominant Marker Handling: Analyzes single nucleotide polymorphisms (SNPs) and dominant markers such as presence/absence of amplified sequence tags.
- Data Quality Control and Marker Selection: Provides functions for data quality control and marker selection.
- Import/Export and Interoperability: Includes functions for importing, exporting, and linking data to facilitate integration with other bioinformatics packages.
- Simulation Functions: Contains simulation functions to generate datasets that can be analyzed within dartR.
- Expanded Functionality (Version 2): Version 2 increased the number of available functions from 45 to 144 to expand analytical capabilities for data manipulation and reporting.
- Performance Optimizations: Implements optimizations to improve function execution speed.
Scientific Applications:
- Conservation Biology: Analyzes genetic data to inform biodiversity management and species preservation decisions.
- Ecology: Supports studies of population genetics, gene flow, and evolutionary dynamics within ecosystems.
- Agriculture: Assists genetic analyses for crop and livestock breeding programs and genetic improvement strategies.
Methodology:
Functions explicitly include importing, exporting, and linking data; data quality control; marker selection; simulation of datasets; and analysis of SNPs and presence/absence amplified sequence tags, with performance optimizations for faster execution.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 1/18/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Mijangos JL, Gruber B, Berry O, Pacioni C, Georges A. <scp> <i>dartR</i> </scp> v2: An accessible genetic analysis platform for conservation, ecology and agriculture. Methods in Ecology and Evolution. 2022;13(10):2150-2158. doi:10.1111/2041-210x.13918.