The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Open accessAbstract
We present the latest version of the Molecular Evolutionary Genetics Analysis (M ega ) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, M ega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in M ega . The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit M ega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line M ega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
Cited by
Items 101–147 of 147
Wang, M., He, G., Zou, X., Liu, J., Ye, Z., Ming, T., Du, W., Wang, Z., & Hou, Y. (2021) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2021.102565 · Cited by 32
Maltsev, Y., Maltseva, I., Maltseva, S., Kociolek, J. P., & Kulikovskiy, M. (2021) · Journal of Phycology · doi:10.1111/jpy.13116 · Cited by 31
Maltsev, Y., Maltseva, I., Maltseva, S., Kociolek, J. P., & Kulikovskiy, M. (2019) · Journal of Phycology · doi:10.1111/jpy.12903 · Cited by 28
Diversity, Prevalence, and Virulence of Colletotrichum Species Associated with Lima Bean in Brazil
Cavalcante, G. R. S., Barguil, B. M., Vieira, W. A. S., Lima, W. G., Michereff, S. J., Doyle, V. P., & Câmara, M. P. S. (2019) · Plant Disease · doi:10.1094/pdis-11-18-2002-re · Cited by 26
Canestrari, J. G., Lasek‐Nesselquist, E., Upadhyay, A., Rofaeil, M., Champion, M. M., Wade, J. T., Derbyshire, K. M., & Gray, T. A. (2020) · Molecular Microbiology · doi:10.1111/mmi.14498 · Cited by 25
Dumaidi, K., & Al-Jawabreh, A. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172357 · Cited by 25
Insights into the microbiology of the chaotropic brines of Salar de Atacama, Chile
Cubillos, C. F., Paredes, A., Yáñez, C., Palma, J., Severino, E., Vejar, D., Grágeda, M., & Dorador, C. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01611 · Cited by 25
He, G., Adnan, A., Rakha, A., Yeh, H.-Y., Wang, M., Zou, X., Guo, J., Rehman, M., Fawad, A., Chen, P., et al. (2019) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2019.06.018 · Cited by 25
Tadesse, B. T., Abera, A. B., Tefera, A. T., Muleta, D., Alemu, Z. T., & Wessel, G. (2019) · International Journal of Food Science · doi:10.1155/2019/1291863 · Cited by 25
Tanaka, M., Ishikawa, T., Tamura, S., Saito, Y., Kawai-Yamada, M., & Hihara, Y. (2020) · Plant and Cell Physiology · doi:10.1093/pcp/pcaa069 · Cited by 24
Dela Cueva, F. M., Mendoza, J. S., & Balendres, M. A. (2018) · Crop Protection · doi:10.1016/j.cropro.2018.06.011 · Cited by 25
Liu, B., Zhong, X., Liu, Z., Guan, X., Wang, Q., Qi, R., Zhou, X., & Huang, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417570 · Cited by 21
Adnan, A., Zhan, X., Kasim, K., Rakha, A., & Xin, X. J. (2018) · International Journal of Legal Medicine · doi:10.1007/s00414-018-1815-7 · Cited by 22
Irie, M., Itoh, J., Matsuzawa, A., Ikawa, M., Kiyonari, H., Kihara, M., Suzuki, T., Hiraoka, Y., Ishino, F., & Kaneko-Ishino, T. (2022) · Development · doi:10.1242/dev.200976 · Cited by 22
Yang, Z., & Tsui, S. K.-W. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00262 · Cited by 19
Sluchanko, N. N., Maksimov, E. G., Slonimskiy, Y. B., Varfolomeeva, L. A., Bukhanko, A. Y., Egorkin, N. A., Tsoraev, G. V., Khrenova, M. G., Ge, B., Qin, S., et al. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.127874 · Cited by 18
Pineapple SWEET10 is a glucose transporter
(2023) · doi:10.1093/hr/uhad175 · Cited by 18
Cowart, D. A., Durand, L., Cambon-Bonavita, M.-A., & Arnaud-Haond, S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172543 · Cited by 17
Structure and function of the non-classical major histocompatibility complex molecule MR1
Krovi, S. H., & Gapin, L. (2016) · Immunogenetics · doi:10.1007/s00251-016-0939-5 · Cited by 17
Sun, W., Yao, M., Wang, Z., Chen, Y., Zhan, J., Yan, J., Jiang, S., Jian, S., Chen, H., Bu, T., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158480 · Cited by 15
The genome solver project: Faculty training and student performance gains in bioinformatics
Mathur, V., Arora, G. S., McWilliams, M., Russell, J., & Rosenwald, A. G. (2019) · Journal of Microbiology & Biology Education · doi:10.1128/jmbe.v20i1.1607 · Cited by 14
McClean, P. E., Roy, J., Colbert, C. L., Osborne, C., Lee, R., Miklas, P. N., & Osorno, J. M. (2024) · G3: Genes, Genomes, Genetics · doi:10.1093/g3journal/jkae184 · Cited by 13
Reddy, V. R. A. P., Nazki, S., Brodrick, A. J., Asfor, A., Urbaniec, J., Morris, Y., & Broadbent, A. J. (2022) · Journal of Virology · doi:10.1128/jvi.01255-22 · Cited by 12
Zha, Q., Yin, X., Xi, X., & Jiang, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065989 · Cited by 11
Evolution and Diversity of Semaphorins and Plexins in Choanoflagellates
Junqueira Alves, C., Silva Ladeira, J., Hannah, T., Pedroso Dias, R. J., Zabala Capriles, P. V., Yotoko, K., Zou, H., & Friedel, R. H. (2021) · Genome Biology and Evolution · doi:10.1093/gbe/evab035 · Cited by 11
Maternal genetic and phylogenetic characteristics of domesticated cattle in northwestern China
Cai, Y., Jiao, T., Lei, Z., Liu, L., & Zhao, S. (2018) · PLOS ONE · doi:10.1371/journal.pone.0209645 · Cited by 10
A missense mutation in RRM1 contributes to animal tameness
Dou, M., Li, M., Zheng, Z., Chen, Q., Wu, Y., Wang, J., Shan, H., Wang, F., Dai, X., Li, Y., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf4068 · Cited by 10
Gao, W., Xiao, M., Gu, Z., Fu, X., Ren, X., Yu, Y., Liu, Z., Zhu, C., Kong, Q., & Mou, H. (2022) · Molecular Genetics and Genomics · doi:10.1007/s00438-022-01937-8 · Cited by 10
Tan, Y., Wang, C., Schneider, T., Li, H., de Souza, R. F., Tang, X., Swisher Grimm, K. D., Hsieh, T.-F., Wang, X., Li, X., et al. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00509-21 · Cited by 10
Panayotova-Pencheva, M., Šnábel, V., Dakova, V., Čabanová, V., Cavallero, S., Trifonova, A., Mirchev, R., Hurníková, Z., Vasilková, Z., & Miterpáková, M. (2020) · Helminthologia · doi:10.2478/helm-2020-0026 · Cited by 9
Toffoli, L. M., Martínez‐Zamora, M. G., Medrano, N. N., Fontana, C. A., Lovaisa, N. C., Delaporte‐Quintana, P., Elias, J. M., Salazar, S. M., & Pedraza, R. O. (2021) · Journal of Basic Microbiology · doi:10.1002/jobm.202100064 · Cited by 9
Wu, P., Gan, Q., Zhang, X., Yang, Y., Xiao, Y., She, Q., Ni, J., Huang, Q., & Shen, Y. (2023) · mLife · doi:10.1002/mlf2.12051 · Cited by 9
Walker, J., Pyke, A., Florian, P., Moore, F., Smoll, N., Adegbija, O., Khan, A., Hasan, R., Carroll, H., Harris, R. R., et al. (2021) · Communicable Diseases Intelligence · doi:10.33321/cdi.2021.45.31 · Cited by 8
Jeon, S., Jung, J., Kim, K., Yoo, D., Lee, C., Kang, J., Cho, K., Kang, D.-K., Kwak, W., Yoon, S. H., et al. (2017) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2017.05.015 · Cited by 7
Adaptive evolution of antioxidase-related genes in hypoxia-tolerant mammals
Wang, Q.-P., Luo, C.-Y., Xu, X.-H., Hu, W.-X., Gai, Y.-L., Gong, Y.-J., & Mu, Y. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1315677 · Cited by 7
Wottrich, S., Mendonca, S., Safarpour, C., Nguyen, C., Marinelli, L. J., Hancock, S. P., Modlin, R. L., & Parker, J. M. (2024) · Microbiome Research Reports · doi:10.20517/mrr.2023.42 · Cited by 7
Phenotypic and genetic features of a novel clinically isolated rough morphotype Candida auris
Tian, S., Bing, J., Chu, Y., Li, H., Wang, Q., Cheng, S., Chen, J., & Shang, H. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1174878 · Cited by 6
Guo, Z., Wang, Y., & Ou, G. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btae064 · Cited by 6
Kanda, A., Otani, K., Ueda, T., Takahashi, T., & Motose, H. (2022) · doi:10.1101/2022.07.08.499237 · Cited by 6
Domain Expansion and Functional Diversification in Vertebrate Reproductive Proteins
Rivera, A. M., Wilburn, D. B., & Swanson, W. J. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac105 · Cited by 6
Dini, F. M., Musto, C., Brogi, R., Moroni, B., Fiorentini, L., Bassi, P., Bianchi, A., Pupillo, G., Tedesco, P., Donato, A. D., et al. (2026) · International Journal for Parasitology · doi:10.1016/j.ijpara.2025.06.005 · Cited by 2
Dubey, B. N., Shyp, V., Fucile, G., Sondermann, H., Jenal, U., & Schirmer, T. (2023) · Scientific Reports · doi:10.1038/s41598-023-29110-0 · Cited by 2
Vidovszky, M. Z., Kaján, G. L., Böszörményi, K. P., Podgorski, I. I., Doszpoly, A., Ballmann, M. Z., Mitró, G., Skoda, G., Turk, M., Groothuizen, M. K., et al. (2025) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2025.108287 · Cited by 1
Metadata
- Authors
- Kumar, S., Stecher, G., & Tamura, K.
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-03-22
- Volume
- 33
- Issue
- 7
- Pages
- 1870-1874
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- OpenAlex
- W2311203695
- Cited by
- 44,059
- References
- 1
- FWCI
- 2215.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.