The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
BEAGLE 3: Improved Performance, Scaling, and Usability for a High-Performance Computing Library for Statistical Phylogenetics
Open accessAbstract
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.
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Guindon, S., Dufayard, J.-F., Lefort, V., Anisimova, M., Hordijk, W., & Gascuel, O. (2010) · Systematic Biology · doi:10.1093/sysbio/syq010 · Cited by 18,376
Evolutionary trees from DNA sequences: A maximum likelihood approach.
Felsenstein, J. (1981) · Journal of Molecular Evolution · doi:10.1007/bf01734359 · Cited by 14,571
Dating of the human–ape splitting by a molecular clock of mitochondrial DNA.
Hasegawa, M., Kishino, H., & Yano, T.-A. (1985) · Journal of Molecular Evolution · doi:10.1007/bf02101694 · Cited by 8,687
BEAST 2: a software platform for Bayesian evolutionary analysis
Bouckaert, R., Heled, J., Kühnert, D., Vaughan, T., Wu, C.-H., Xie, D., Suchard, M. A., Rambaut, A., & Drummond, A. J. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003537 · Cited by 6,527
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Cited by
Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic
Boni, M. F., Lemey, P., Jiang, X., Lam, T. T.-Y., Perry, B. W., Castoe, T. A., Rambaut, A., & Robertson, D. L. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0771-4 · Cited by 1,014
“BEAST inferences made use of the BEAGLEv3 library (Yres et al., 2019) for efficient likelihood computations.”
MethodSelf-citationPhylogenetic tree building in the genomic age
Kapli, P., Yang, Z., & Telford, M. J. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0233-0 · Cited by 533
Sustained human outbreak of a new MPXV clade I lineage in eastern Democratic Republic of the Congo
Vakaniaki, E. H., Kacita, C., Kinganda-Lusamaki, E., O’Toole, Á., Wawina-Bokalanga, T., Mukadi-Bamuleka, D., Amuri-Aziza, A., Malyamungu-Bubala, N., Mweshi-Kumbana, F., Mutimbwa-Mambo, L., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03130-3 · Cited by 404
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Metadata
- Authors
- Ayres, D. L., Cummings, M. P., Baele, G., Darling, A. E., Lewis, P. O., Swofford, D. L., Huelsenbeck, J. P., Lemey, P., Rambaut, A., & Suchard, M. A.
- Venue
- Systematic Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-04-23
- Volume
- 68
- Issue
- 6
- Pages
- 1052-1061
- ISSN
- 1063-5157 (ISSN-L)
- 1076-836X
- OpenAlex
- W2941807936
- Cited by
- 263
- References
- 4
- FWCI
- 26.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ayres, D. L., Cummings, M. P., Baele, G., Darling, A. E., Lewis, P. O., Swofford, D. L., Huelsenbeck, J. P., Lemey, P., Rambaut, A., & Suchard, M. A. (2019). BEAGLE 3: Improved Performance, Scaling, and Usability for a High-Performance Computing Library for Statistical Phylogenetics. Systematic Biology. https://doi.org/10.1093/sysbio/syz020
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