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Published on: December 7, 2021
mapDATAge: a ShinyR package to chart ancient DNA data through space and time.
1Centre for Anthropobiology and Genomics of Toulouse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse 31000, France.
mapDATAge offers a user-friendly R application for visualizing ancient DNA data, making it easier to explore genetic ancestry distributions over time and space. This tool simplifies complex data analysis for researchers without extensive computational skills.
Area of Science:
- Computational Biology
- Population Genetics
- Bioinformatics
Background:
- Ancient DNA (aDNA) datasets present visualization challenges for non-computational users.
- Interpreting spatiotemporal genetic patterns requires accessible analytical tools.
Purpose of the Study:
- To introduce mapDATAge, a user-friendly application for interactive mapping of aDNA data.
- To facilitate the visualization and analysis of allele, haplogroup, and ancestry distributions across space and time.
- To enhance collaborative data sharing and reporting of genetic changes.
Main Methods:
- Development of mapDATAge as a Shiny R application.
- Implementation of automated modules for interactive data mapping.
- Creation of a graphical user interface (GUI) for intuitive exploration.
Main Results:
- mapDATAge provides user-friendly modules for visualizing aDNA data distributions.
- The application enables interactive mapping of genetic data through space and time.
- It supports collaborative data sharing and assessment of spatiotemporal genetic patterns.
Conclusions:
- mapDATAge democratizes the analysis of ancient DNA data by providing an accessible visualization tool.
- The application aids researchers in understanding the spatiotemporal dynamics of human genetic history.
- It promotes efficient data sharing and reporting in the field of ancient genomics.
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