TraitTrainR: accelerating large-scale simulation under models of continuous trait evolution.

Jenniffer Roa Lozano, Mataya Duncan, Duane D McKenna, Todd A Castoe, Michael DeGiorgio, Richard Adams

Abstract read

In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Discriminating models of trait evolution.Evolution; international journal of organic evolution · 2026
Article

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

6 authors.

Jenniffer Roa LozanoCenter for Agricultural Data Analytics, University of Arkansas, Fayetteville, AR 72701, United States.

Mataya DuncanCenter for Agricultural Data Analytics, University of Arkansas, Fayetteville, AR 72701, United States.

Duane D McKennaDepartment of Biological Sciences, University of Memphis, Memphis, TN 38152, United States.

Todd A CastoeDepartment of Biology, University of Texas at Arlington, Arlington, TX 76010, United States.

Michael DeGiorgioDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, United States.ORCID https://orcid.org/0000-0003-4908-7234

Richard AdamsCenter for Agricultural Data Analytics, University of Arkansas, Fayetteville, AR 72701, United States.ORCID https://orcid.org/0009-0005-0054-8134

Funding

Identifying complex modes of adaptation from population-genomic dataR35GM128590 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Michael DeGiorgio · 2018 to 2026

$2.8M

NIGMS NIH HHS R35 GM128590

6 · The paper itself

Abstract

Motivation: The scale and scope of comparative trait data are expanding at unprecedented rates, and recent advances in evolutionary modeling and simulation sometimes struggle to match this pace. Well-organized and flexible applications for conducting large-scale simulations of evolution hold promise in this context for understanding models and more so our ability to confidently estimate them with real trait data sampled from nature. Results: We introduce Availability and implementation:

Identifiers

PMID39758830

DOI10.1093/bioadv/vbae196

PMCPMC11696700

What OpenQuestion holds

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LicenceCC BY

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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.