Evidence map›Paper›PMID 31034053›Full record

ArticleSystematic biology2019

BEAGLE 3: Improved Performance, Scaling, and Usability for a High-Performance Computing Library for Statistical Phylogenetics.

Daniel L Ayres, Michael P Cummings, Guy Baele, Aaron E Darling, Paul O Lewis, David L Swofford, John P Huelsenbeck, Philippe Lemey, Andrew Rambaut, Marc A Suchard

Abstract read
In one paragraph

Article in Systematic biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers.

0numbers the graph read from it
0cells of the map it votes in
176citing 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

176 citing papers in PubMed.

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  13. Parallel algorithms for phylogenetic inference under a structured coalescent approximation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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116 more citing papers are in PubMed but not listed here.

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

10 authors.

Daniel L AyresCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Michael P CummingsCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
Guy BaeleDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven - University of Leuven, 3000 Leuven, Belgium.
Aaron E DarlingThe ithree Institute, University of Technology Sydney, Ultimo, New South Wales 2007, Australia.
Paul O LewisDepartment of Ecology and Evolutionary Biology, University of Connecticut, Unit 3043, Storrs, CT 06269, USA.
David L SwoffordFlorida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA.
John P HuelsenbeckDepartment of Integrative Biology, University of California, Berkeley, CA 94720 USA.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven - University of Leuven, 3000 Leuven, Belgium.
Andrew RambautInstitute of Evolutionary Biology, University of Edinburgh, King's Buildings, Edinburgh EH9 3FL, UK.
Marc A SuchardDepartment of Biomathematics University of California, Los Angeles, CA 90095, USA.

Funding

Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Bryan Briney · 2018 to 2026
$32.0M
Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
BAYESIAN MODELING AND DATA INTEGRATION IN INFECTIOUS DISEASE PHYLODYNAMICSR01AI107034 · NIAID · UNIVERSITY OF WASHINGTON · PI MININ, VOLODYMYR · 2013 to 2017
$1.7M
NHGRI NIH HHS R01 HG006139NIAID NIH HHS R01 AI107034NIAID NIH HHS U19 AI135995Wellcome TrustWellcome Trust 206298/Z/17/Z
6 · The paper itself

Abstract

BEAGLE is a high-performance likelihood-calculation library for phylogenetic inference. The BEAGLE library defines a simple, but flexible, application programming interface (API), and includes a collection of efficient implementations for calculation under a variety of evolutionary models on different hardware devices. The library has been integrated into recent versions of popular phylogenetics software packages including BEAST and MrBayes and has been widely used across a diverse range of evolutionary studies. Here, we present BEAGLE 3 with new parallel implementations, increased performance for challenging data sets, improved scalability, and better usability. We have added new OpenCL and central processing unit-threaded implementations to the library, allowing the effective utilization of a wider range of modern hardware. Further, we have extended the API and library to support concurrent computation of independent partial likelihood arrays, for increased performance of nucleotide-model analyses with greater flexibility of data partitioning. For better scalability and usability, we have improved how phylogenetic software packages use BEAGLE in multi-GPU (graphics processing unit) and cluster environments, and introduced an automated method to select the fastest device given the data set, evolutionary model, and hardware. For application developers who wish to integrate the library, we also have developed an online tutorial. To evaluate the effect of the improvements, we ran a variety of benchmarks on state-of-the-art hardware. For a partitioned exemplar analysis, we observe run-time performance improvements as high as 5.9-fold over our previous GPU implementation. BEAGLE 3 is free, open-source software licensed under the Lesser GPL and available at https://beagle-dev.github.io.

Indexed as

ClassificationData Interpretation, StatisticalPhylogenySoftwareBayesian phylogeneticsGPUmaximum likelihoodmulticore processingparallel computing

Identifiers

PMID31034053
PMCPMC6802572

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.