ArticleHuman population genetics and genomics2026
Article in Human population genetics and genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.