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.