Evidence map›Paper›PMID 41281234›Full record

ArticleArXiv2025

ARGscape: A modular, interactive tool for manipulation of spatiotemporal ancestral recombination graphs.

Christopher A Talbot, Gideon S Bradburd

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Christopher A TalbotDepartment of Ecology and Evolutionary Biology, University of Michigan, 1105 North University Avenue, Ann Arbor, MI 48109, USA.
Gideon S BradburdDepartment of Ecology and Evolutionary Biology, University of Michigan, 1105 North University Avenue, Ann Arbor, MI 48109, USA.

Funding

Incorporating geography into statistical methods for analysis of population genomic DNAR35GM137919 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Gideon Bradburd · 2020 to 2026
$2.3M
NIGMS NIH HHS R35 GM137919
6 · The paper itself

Abstract

Summary: Ancestral recombination graphs (ARGs) encode the complete genealogical history of a population of recombining lineages. ARGs, and their succinct representation, tree sequences, are increasingly central to modern population genetics methods, yet building an intuition for ARGs remains challenging. This is particularly true when analyzing ancestry in a geographic context, as there is a critical lack of dedicated, interactive tools capable of visualizing ARGs as spatiotemporal objects. To address this gap, we introduce ARGscape, an interactive platform for simulating, analyzing, and visualizing ARGs across space and time. ARGscape provides a user-friendly graphical interface featuring dynamic 2- and 3-dimensional visualizations to explore ARGs through space and time, as well as a novel "spatial diff" visualization for quantitative comparison of geographic inference methods. ARGscape is an innovative, unified framework that seamlessly integrates leading command-line, Python, and R-based tools for ARG simulation, manipulation, and use in spatiotemporal inference into both graphical and command-line interfaces. By integrating these various functionalities, ARGscape facilitates novel data exploration and hypothesis generation, while lowering the barrier to entry for spatiotemporal ARG analysis in both research and education use-cases. Availability and Implementation: ARGscape is built with a Python FastAPI backend and a React/TypeScript frontend. It is freely available as a live demo at https://www.argscape.com [v0.3.0] and as a Python package on PyPI (pip install argscape) [v0.3.0]. The source code and documentation are available on GitHub at https://github.com/chris-a-talbot/argscape.

Identifiers

PMID41281234
PMCPMC12632698

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.