<i>KAlignedoscope</i>: An interactive visualization tool for aligned clustering results from population structure analyses

Avery Guo; Sohini Ramachandran; Xiran Liu

doi:10.47248/hpgg2606020006

Human Population Genetics and Genomics 2026;6(2):0006 | https://doi.org/10.47248/hpgg2606020006

Technical Note Open Access

KAlignedoscope: An interactive visualization tool for aligned clustering results from population structure analyses

Avery Guo ^1,2 , Sohini Ramachandran ^3,4,† , Xiran Liu ^3,†

1 Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA
2 Painting, Rhode Island School of Design, Providence, RI, 02903, USA
3 Data Science Institute, Brown University, Providence, RI, 02912, USA
4 Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI, 02912, USA

^† These authors contributed equally to this work.

Correspondence: Sohini Ramachandran; Xiran Liu

Academic Editor(s): Joshua Akey, Carina Schlebusch, Torsten Günther

Received: Oct 2, 2025 | Accepted: Mar 10, 2026 | Published: Mar 27, 2026

This article belongs to the Special Issue Population Genetics Methods and Software

Cite this article: Guo A, Ramachandran S, Liu X. KAlignedoscope: An interactive visualization tool for aligned clustering results from population structure analyses. Hum Popul Genet Genom. 2026;6(2):0006. https://doi.org/10.47248/hpgg2606020006

Abstract

Visualization plays an important role in the interpretation of analyses applied to population-genetic data, particularly when multiple clustering results are generated from the same input data and aligned to provide a comprehensive view of inferred population structure. We present KAlignedoscope, a web-based tool for the interactive visualization and exploration of aligned clustering results. Built with D3.js, our tool enables fast, dynamic rendering and offers powerful interactive features such as reordering populations and clusters, sorting individuals, highlighting clusters, and customizing colors. The tool is compatible with outputs from clustering alignment methods Clumppling and Pong, and is easily extendable to others. KAlignedoscope supports and streamlines population structure analysis by enabling flexible navigation of complex patterns in the aligned clustering results.

Keywords

population structure, clustering, clustering alignment, visualization, interactive

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