TEGA
TEGA manages and analyzes biological, genetic, and environmental data to support population genetics studies focused on allele-frequency dynamics.
Key Features:
- Data Management: Centralizes organization and storage of diverse datasets, including text files and spreadsheets.
- Analysis Procedures: Executes analysis procedures to study distributions and changes in allele frequencies influenced by mutation, natural selection, gene flow, and genetic drift.
- Publication of Data and Results: Provides a structured means to publish datasets, methodologies, and findings to support transparency and reproducibility.
- Consistency and Traceability: Enhances consistency and traceability of genetic, biological, and environmental data across studies.
- Large-dataset Handling: Supports management and analysis of large datasets typical in population genetics research.
Scientific Applications:
- Population genetics of non-model organisms: Enables analysis of allele frequency changes across populations of non-model organisms.
- Evolutionary processes and genetic diversity: Supports investigations into evolutionary processes such as mutation, selection, gene flow, genetic drift, and their effects on genetic diversity.
Methodology:
Executes analysis procedures that study distributions and temporal changes of allele frequencies influenced by mutation, natural selection, gene flow, and genetic drift, and ingests/organizes datasets provided as text files or spreadsheets.
Topics
Details
- License:
- AGPL-3.0
- Programming Languages:
- Java, JavaScript
- Added:
- 1/18/2021
- Last Updated:
- 2/26/2021
Operations
Publications
Elias DE, Rueda ECR. Tools for Evolutionary and Genetic Analysis (TEGA): A new platform for the management of molecular and environmental data. Genetics and Molecular Biology. 2020;43(2). doi:10.1590/1678-4685-gmb-2018-0272. PMID:32478790. PMCID:PMC7263200.