The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Maximum likelihood inference of protein phylogeny and the origin of chloroplasts
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Citations
Cites
Evolutionary trees from DNA sequences: A maximum likelihood approach.
Felsenstein, J. (1981) · Journal of Molecular Evolution · doi:10.1007/bf01734359 · Cited by 14,571
Cases in which parsimony or compatibility methods will be positively misleading.
Felsenstein, J. (1978) · Systematic Zoology · doi:10.2307/2412923 · Cited by 2,230
Cited by
A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood
Guindon, S., & Gascuel, O. (2003) · Systematic Biology · doi:10.1080/10635150390235520 · Cited by 16,806
PAML 4: Phylogenetic Analysis by Maximum Likelihood
Yang, Z. (2007) · Molecular Biology and Evolution · doi:10.1093/molbev/msm088 · Cited by 13,879
UFBoot2: Improving the Ultrafast Bootstrap Approximation
Hoang, D. T., Chernomor, O., von Haeseler, A., Minh, B. Q., & Vinh, L. S. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msx281 · Cited by 10,881
Selection of Conserved Blocks from Multiple Alignments for Their Use in Phylogenetic Analysis
Castresana, J. (2000) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a026334 · Cited by 10,508
FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix
Price, M. N., Dehal, P. S., & Arkin, A. P. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp077 · Cited by 5,602
Metadata
- Authors
- Kishino, H., Miyata, T., & Hasegawa, M.
- Venue
- Journal of Molecular Evolution
- Published
- 1990-08
- Volume
- 31
- Issue
- 2
- Pages
- 151-160
- ISSN
- 0022-2844 (ISSN-L)
- 1432-1432
- OpenAlex
- W2016000389
- Cited by
- 883
- References
- 2
- FWCI
- 4.59
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
