HyPhy: hypothesis testing using phylogenies
Open accessAbstract
Summary: The HyPhypackage is designed to provide a flexible and unified platform for carrying out likelihood-based analyses on multiple alignments of molecular sequence data, with the emphasis on studies of rates and patterns of sequence evolution. Availability: http://www.hyphy.org Contact: muse@stat.ncsu.edu Supplementary information: HyPhydocumentation and tutorials are available at http://www.hyphy.org
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Controlling for confounding variables such as phylogeny does not reduce statistical power.
“Controlling for confounding variables such as phylogeny does not reduce statistical power, because such variables should be accounted for before making any estimates of power18,114,115.”
From A phylogenetic approach to comparative genomics (2025) · cites this paper as [115]
The Introduction (page unavailable) describes HyPhy as a platform for likelihood-based analyses of sequence alignments, and §2.1.1 describes model fitting and parameter-estimation variability. Neither addresses whether controlling for phylogeny affects statistical power or whether confounders should be accounted for before estimating power; searches for those points found no supporting passage. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879 · see citing works
Evolutionary trees from DNA sequences: A maximum likelihood approach.
Felsenstein, J. (1981) · Journal of Molecular Evolution · doi:10.1007/bf01734359 · Cited by 14,571 · see citing works
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 · see citing works
Statistical tests of models of DNA substitution
Goldman, N. (1993) · Journal of Molecular Evolution · doi:10.1007/bf00166252 · Cited by 736 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Dimmic,M., Mindell,D. and Goldstein,R. (2000) Modeling evolution at the protein level using an adjustable amino acid fitness model. In Pacific Symposium on Biocomputing, Honolulu.
Cited by
Sorted by citations
Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
Faria, N. R., Mellan, T. A., Whittaker, C., Claro, I. M., Candido, D. D. S., Mishra, S., Crispim, M. A. E., Sales, F. C. S., Hawryluk, I., McCrone, J. T., et al. (2021) · Science · doi:10.1126/science.abh2644 · Cited by 1,461 · see citing works
Self-citationRELAX: Detecting Relaxed Selection in a Phylogenetic Framework
Wertheim, J. O., Murrell, B., Smith, M. D., Kosakovsky Pond, S. L., & Scheffler, K. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msu400 · Cited by 778 · see citing works
Establishment and cryptic transmission of Zika virus in Brazil and the Americas
Faria, N. R., Quick, J., Claro, I. M., Thézé, J., de Jesus, J. G., Giovanetti, M., Kraemer, M. U. G., Hill, S. C., Black, A., da Costa, A. C., et al. (2017) · Nature · doi:10.1038/nature22401 · Cited by 616 · see citing works
Rules of engagement: molecular insights from host–virus arms races
Daugherty, M. D., & Malik, H. S. (2012) · Annual Review of Genetics · doi:10.1146/annurev-genet-110711-155522 · Cited by 515 · see citing works
Zimbeck, A. J., Iqbal, N., Ahlquist, A. M., Farley, M. M., Harrison, L. H., Chiller, T., & Lockhart, S. R. (2010) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00836-10 · Cited by 136 · see citing works
Jackson, C., Knoll, A. H., Chan, C. X., & Verbruggen, H. (2018) · Scientific Reports · doi:10.1038/s41598-017-18805-w · Cited by 99 · see citing works
Ferrareze, P. A. G., Franceschi, V. B., Mayer, A. D. M., Caldana, G. D., Zimerman, R. A., & Thompson, C. E. (2021) · Infection, Genetics and Evolution · doi:10.1016/j.meegid.2021.104941 · Cited by 82 · see citing works
The evolutionary history of genes involved in spoken and written language: beyond FOXP2
Mozzi, A., Forni, D., Clerici, M., Pozzoli, U., Mascheretti, S., Guerini, F. R., Riva, S., Bresolin, N., Cagliani, R., & Sironi, M. (2016) · Scientific Reports · doi:10.1038/srep22157 · Cited by 67 · see citing works
Lott, T. J., Frade, J. P., & Lockhart, S. R. (2010) · Eukaryotic Cell · doi:10.1128/ec.00002-10 · Cited by 58 · see citing works
A phylogenetic approach to comparative genomics
Dewar, A. E., Belcher, L. J., & West, S. A. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-024-00803-0 · Cited by 41 · see citing works
Muntané, G., Horvath, J. E., Hof, P. R., Ely, J. J., Hopkins, W. D., Raghanti, M. A., Lewandowski, A. H., Wray, G. A., & Sherwood, C. C. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht354 · Cited by 36 · see citing works
Mozzi, A., Guerini, F. R., Forni, D., Costa, A. S., Nemni, R., Baglio, F., Cabinio, M., Riva, S., Pontremoli, C., Clerici, M., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-10245-w · Cited by 28 · see citing works
Mozzi, A., Forni, D., Cagliani, R., Pozzoli, U., Clerici, M., & Sironi, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-06440-4 · Cited by 19 · see citing works
Molecular Basis for the Evolution of Species-Specific Hemoglobin Capture by Staphylococcus aureus
Choby, J. E., Buechi, H. B., Farrand, A. J., Skaar, E. P., & Barber, M. F. (2018) · mBio · doi:10.1128/mbio.01524-18 · Cited by 15 · see citing works
- Authors
- Pond, S. L. K., Frost, S. D. W., & Muse, S. V.
- Affiliations
- University of California San Diego (US)
- North Carolina State University (US)
- Corresponding author
- Pond, Sergei L. Kosakovsky
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-10-27
- Volume
- 21
- Issue
- 5
- Pages
- 676-679
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2138178197
- Cited by
- 2,866
- References
- 4
- Citations by year
- 2026: 96 · 2025: 101 · 2024: 109 · 2023: 100 · 2022: 131 · 2021: 129 · 2020: 188 · 2019: 173 · 2018: 159 · 2017: 163 · 2016: 195 · 2015: 173 · 2014: 171 · 2013: 176 · 2012: 145
- FWCI
- 17.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Bioinformatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0096033, 9996118)
- National Institutes of Health (AI47745)
- Center for AIDS Research, University of Washington
- National Institute of Allergy and Infectious Diseases (R01AI047745, U01AI043638, P30AI036214)
- Division of Biological Infrastructure
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Keywords
- HyPhy, phylogeny, hypothesis testing, molecular evolution
- MeSH terms
- Algorithms, Computer Simulation, Models, Genetic, Phylogeny, Software, User-Computer Interface, Sequence Alignment, Evolution, Molecular, Sequence Analysis, Protein
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review