Evidence map›Paper›PMID 42348238›Full record

ArticleBioinformatics (Oxford, England)2026

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

Christopher A Talbot, Gideon S Bradburd

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Pandemic-Scale Ancestral Recombination Graph for SARS-CoV-2.bioRxiv : the preprint server for biology · 2025
    Article
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, Ann Arbor, MI 48109, United States.ORCID 0009-0000-3174-5580
Gideon S BradburdDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, United States.ORCID 0000-0001-8009-0154

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 GM137919NIH HHS R35-GM137919
6 · The paper itself

Abstract

summaryAncestral recombination graphs (ARGs) are increasingly central to modern population genetics, yet ARG-based methods for spatiotemporal demographic inference remain underutilized in empirical settings due to fragmented workflows and a lack of exploratory tools. ARGscape addresses this by providing a unified framework, seamlessly integrating established and novel tools for ARG simulation, manipulation, and spatiotemporal inference into both graphical and command-line interfaces. ARGscape features dynamic 2- and 3-dimensional visualizations and a novel "spatial diff" visualization for quantitative comparison of ARG-based geographic inference methods. By integrating these various functionalities, ARGscape facilitates novel data exploration and hypothesis generation, bridging the gap between methods development and empirical adoption, and enabling educational uses. AVAILABILITY AND IMPLEMENTATION: ARGscape is available as a Python package on PyPI and as a live website for educational and simple demonstrative purposes at https://www.argscape.com. The source code and documentation are available on GitHub at https://github.com/chris-a-talbot/argscape.

Indexed as

Genetics, PopulationRecombination, GeneticSoftwareUser-Computer Interface

Identifiers

PMID42348238
PMCPMC13371762

What OpenQuestion holds

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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.