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The AADR Visualizer: An ArcGIS Online Visualizer for ancient human DNA from the Allen Ancient DNA Resource.

Yi Woojung, W Delroba, Elliot E et al.

40831291 PubMed ID
8 Authors
2025-08-18 Published
1,756 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

YW
Yi Woojung
WD
W Delroba
EE
Elliot E
ZB
Zizzamia Beth
BS
B Spera
SS
Stephanie S
YM
Yang Melinda A
M
MA
Chapter II

Abstract

Summary of the research findings

The AADR Visualizer is designed to be a public, user-friendly, web-based graphical user interface for visualizing and filtering ancient humans included in the Allen Ancient DNA Resource (AADR), a regularly updated dataset that compiles published human genome-wide ancient DNA for research uses. This tool increases access to the rapidly growing pool of human ancient DNA available for study, facilitating genomic research and education focused on human prehistoric movement and interaction.The AADR Visualizer provides the ability to 1) view all available individuals and associated metadata, 2) filter individuals using a diverse set of geographic, temporal, and sequencing information, and 3) search for individuals using group nomenclature as described in the Allen Ancient DNA Resource.The tool is freely available on the web at https://arcg.is/1CyL5n.

Chapter III

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of ancestry and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context