Evidence map›Paper›PMID 42780350›Full record

ArticleFrontiers in bioinformatics2026

Datamonkey 3: browser-native molecular evolution analysis.

Steven Weaver, Ben Murrell, Anton Nekrutenko, Sergei L Kosakovsky Pond

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Steven WeaverInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.
Ben MurrellDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Anton NekrutenkoDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, United States.
Sergei L Kosakovsky PondInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.

Funding

An in integrated platform for multiomic analyses of pathogen and host data using scalable public infrastructureU24AI183870 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI Kelsey M Beavers, Maximilian Haeussler · 2024 to 2026
$10.2M
Hypothesis Testing using Phylogenies for the 21st century (equipment supplement)R01GM151683 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Spencer V. Muse, ANTON NEKRUTENKO · 2024 to 2026
$1.2M
NIAID NIH HHS U24 AI183870NIGMS NIH HHS R01 GM151683
6 · The paper itself

Abstract

We present Datamonkey 3, a browser-native implementation of the Datamonkey web platform for molecular evolutionary analysis. By utilizing WebAssembly to execute the HyPhy analysis engine on the client side, Datamonkey 3 removes the dependency on remote computational clusters for standard analyses. This architecture ensures data sovereignty by processing sequences locally and enables an interactive workflow with immediate feedback. The platform provides a comprehensive suite of statistical methods for detecting natural selection and recombination, supported by a data curation system that identifies and corrects common formatting errors. Additionally, Datamonkey 3 incorporates data-driven runtime estimation and interactive results visualization. By shifting the computational burden to the client, Datamonkey 3 establishes a sustainable, privacy-preserving infrastructure model that scales with the user base, demonstrating the viability of client-side genomic inference. While tailored for evolutionary analysis of selection and recombination, this browser-native architecture offers a generalizable blueprint for deploying complex bioinformatic tools without server-side dependencies. Datamonkey 3 is freely available at https://v3.datamonkey.org, and all source code is available from https://github.com/veg/datamonkey3.

Indexed as

HyPhymolecular evolutionphylogeneticsselection detectionWebAssembly

Identifiers

PMID42780350
PMCPMC13597819

What OpenQuestion holds

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Registered trials

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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.