The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
Open accessAbstract
A 16S rRNA gene database ( http://greengenes.lbl.gov ) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative chimeras were identified in 3% of environmental sequences and in 0.2% of records derived from isolates. Environmental sequences were classified into 100 phylum-level lineages in the Archaea and Bacteria .
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Thompson, J. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.24.4876 · Cited by 38,685
Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology · doi:10.1186/gb-2002-3-7-research0034 · Cited by 20,038
PHYLIP-Phylogeny inference package (Version 3.2)
Felsenstein, J. (1989) · Cladistics · Cited by 17,682
MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment
Kumar, S. (2004) · Briefings in Bioinformatics · doi:10.1093/bib/5.2.150 · Cited by 11,674
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,714
PHYLIP ( PHYLogeny Inference Package)
Cummings, M. P. (2004) · Dictionary of Bioinformatics and Computational Biology · doi:10.1002/9780471650126.dob0534.pub2 · Cited by 3,127
A Molecular View of Microbial Diversity and the Biosphere
Pace, N. R. (1997) · Science · doi:10.1126/science.276.5313.734 · Cited by 2,793
The RDP (Ribosomal Database Project)
Maidak, B. L., Olsen, G. J., Larsen, N. E., Overbeek, R., McCaughey, M. J., & Woese, C. R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.1.109 · Cited by 2,018
Self-citationThe Jalview Java alignment editor
Clamp, M. E., Cuff, J. A., Searle, S. M. J., & Barton, G. J. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg430 · Cited by 1,578
Flagged first, then by citations
Research works printed but not linked: 1
- 10.1016/S0022-2836(05)80360-2 · DOI · Paper page
Cited by
Sorted by citations
Items 201–269 of 269
Maricic, I., Marrero, I., Eguchi, A., Nakamura, R., Johnson, C. D., Dasgupta, S., Hernandez, C. D., Nguyen, P. S., Swafford, A. D., Knight, R., et al. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1800614 · Cited by 92
Bacterial community changes in an industrial algae production system
Fulbright, S. P., Robbins-Pianka, A., Berg-Lyons, D., Knight, R., Reardon, K. F., & Chisholm, S. T. (2018) · Algal Research · doi:10.1016/j.algal.2017.09.010 · Cited by 91
The dynamics of the bacterial communities developed in maize silage
Gharechahi, J., Kharazian, Z. A., Sarikhan, S., Jouzani, G. S., Aghdasi, M., & Hosseini Salekdeh, G. (2017) · Microbial Biotechnology · doi:10.1111/1751-7915.12751 · Cited by 89
Bioinformatics for the Human Microbiome Project
Gevers, D., Pop, M., Schloss, P. D., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002779 · Cited by 91
Fajstova, A., Galanova, N., Coufal, S., Malkova, J., Kostovcik, M., Cermakova, M., Pelantova, H., Kuzma, M., Sediva, B., Hudcovic, T., et al. (2020) · Cells · doi:10.3390/cells9122701 · Cited by 90
Taxa-function robustness in microbial communities
Eng, A., & Borenstein, E. (2018) · Microbiome · doi:10.1186/s40168-018-0425-4 · Cited by 89
Nature-derived microbiota exposure as a novel immunomodulatory approach
Nurminen, N., Lin, J., Grönroos, M., Puhakka, R., Kramna, L., Vari, H. K., Viskari, H., Oikarinen, S., Roslund, M., Parajuli, A., et al. (2018) · Future Microbiology · doi:10.2217/fmb-2017-0286 · Cited by 80
Effects of dietary Capsicum oleoresin on productivity and immune responses in lactating dairy cows
Oh, J., Giallongo, F., Frederick, T., Pate, J., Walusimbi, S., Elias, R. J., Wall, E. H., Bravo, D., & Hristov, A. N. (2015) · Journal of Dairy Science · doi:10.3168/jds.2014-9294 · Cited by 86
Weimer, P. J., Cox, M. S., Vieira de Paula, T., Lin, M., Hall, M. B., & Suen, G. (2017) · Journal of Dairy Science · doi:10.3168/jds.2017-12746 · Cited by 86
Monk, J. M., Lepp, D., Wu, W., Pauls, K. P., Robinson, L. E., & Power, K. A. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.08.002 · Cited by 85
Pierantonelli, I., Rychlicki, C., Agostinelli, L., Giordano, D. M., Gaggini, M., Fraumene, C., Saponaro, C., Manghina, V., Sartini, L., Mingarelli, E., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-11744-6 · Cited by 82
Auffret, M. D., Stewart, R., Dewhurst, R. J., Duthie, C.-A., Rooke, J. A., Wallace, R. J., Freeman, T. C., Snelling, T. J., Watson, M., & Roehe, R. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.02642 · Cited by 82
Analysis of the Effects of Dietary Pattern on the Oral Microbiome of Elite Endurance Athletes
Murtaza, N., Burke, L. M., Vlahovich, N., Charlesson, B., O’Neill, H. M., Ross, M. L., Campbell, K. L., Krause, L., & Morrison, M. (2019) · Nutrients · doi:10.3390/nu11030614 · Cited by 80
Tanca, A., Abbondio, M., Palomba, A., Fraumene, C., Marongiu, F., Serra, M., Pagnozzi, D., Laconi, E., & Uzzau, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-33100-y · Cited by 79
Liu, T.-W., Park, Y.-M., Holscher, H. D., Padilla, J., Scroggins, R. J., Welly, R., Britton, S. L., Koch, L. G., Vieira-Potter, V. J., & Swanson, K. S. (2015) · PLOS ONE · doi:10.1371/journal.pone.0136150 · Cited by 78
Maslanik, T., Tannura, K., Mahaffey, L., Loughridge, A. B., Benninson, L., Ursell, L., Greenwood, B. N., Knight, R., & Fleshner, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050636 · Cited by 77
Romani Vestman, N., Chen, T., Lif Holgerson, P., Öhman, C., & Johansson, I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125812 · Cited by 78
Bromberg, J. S., Hittle, L., Xiong, Y., Saxena, V., Smyth, E. M., Li, L., Zhang, T., Wagner, C., Fricke, W. F., Simon, T., et al. (2018) · JCI Insight · doi:10.1172/jci.insight.121045 · Cited by 73
Zhao, W., Hu, Y., Li, C., Li, N., Zhu, S., Tan, X., Li, M., Zhang, Y., Xu, Z., Ding, Z., et al. (2020) · BioFactors · doi:10.1002/biof.1567 · Cited by 75
The effect of the microalgae-bacteria microbiome on wastewater treatment and biomass production
Paddock, M. B., Fernández-Bayo, J. D., & VanderGheynst, J. S. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-10246-x · Cited by 73
Wu, S., Du, H., & Xu, Y. (2023) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2022.109995 · Cited by 74
Drouin, P., Tremblay, J., & Chaucheyras-Durand, F. (2019) · Microorganisms · doi:10.3390/microorganisms7120595 · Cited by 71
Dhillon, J., Li, Z., & Ortiz, R. M. (2019) · Current Developments in Nutrition · doi:10.1093/cdn/nzz079 · Cited by 69
Lu, X., Zhang, J.-X., Zhang, L., Wu, D., Tian, J., Yu, L.-J., He, L., Zhong, S., Du, H., Deng, D.-F., et al. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.156571 · Cited by 65
Multi-omics Analysis of Periodontal Pocket Microbial Communities Pre- and Posttreatment
Califf, K. J., Schwarzberg-Lipson, K., Garg, N., Gibbons, S. M., Caporaso, J. G., Slots, J., Cohen, C., Dorrestein, P. C., & Kelley, S. T. (2017) · mSystems · doi:10.1128/msystems.00016-17 · Cited by 66
Diet may influence the oral microbiome composition in cats
Adler, C. J., Malik, R., Browne, G. V., & Norris, J. M. (2016) · Microbiome · doi:10.1186/s40168-016-0169-y · Cited by 65
Wessels, J. M., Lajoie, J., Vitali, D., Omollo, K., Kimani, J., Oyugi, J., Cheruiyot, J., Kimani, M., Mungai, J. N., Akolo, M., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0187612 · Cited by 64
Le Barz, M., Daniel, N., Varin, T. V., Naimi, S., Demers‐Mathieu, V., Pilon, G., Audy, J., Laurin, É., Roy, D., Urdaci, M. C., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201801672r · Cited by 63
Rusch, C., Beke, M., Tucciarone, L., Nieves, C., Ukhanova, M., Tagliamonte, M. S., Mai, V., Suh, J. H., Wang, Y., Chiu, S., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.794640 · Cited by 63
Lyte, M., Chapel, A., Lyte, J. M., Ai, Y., Proctor, A., Jane, J.-L., & Phillips, G. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146406 · Cited by 62
Identification of bovine respiratory disease through the nasal microbiome
Centeno-Martinez, R. E., Glidden, N., Mohan, S., Davidson, J. L., Fernández-Juricic, E., Boerman, J. P., Schoonmaker, J., Pillai, D., Koziol, J., Ault, A., et al. (2022) · Animal Microbiome · doi:10.1186/s42523-022-00167-y · Cited by 60
Drouin, P., Tremblay, J., Renaud, J., & Apper, E. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1153 · Cited by 60
Yu, X., Nishimura, F., & Hidaka, T. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.08.075 · Cited by 54
The Oral Microbiome and Inflammation in Mild Cognitive Impairment
Yang, I., Arthur, R. A., Zhao, L., Clark, J., Hu, Y., Corwin, E. J., & Lah, J. (2021) · Experimental Gerontology · doi:10.1016/j.exger.2021.111273 · Cited by 56
Kang, D.-W., DiBaise, J. K., Ilhan, Z. E., Crowell, M. D., Rideout, J. R., Caporaso, J. G., Rittmann, B. E., & Krajmalnik-Brown, R. (2015) · Anaerobe · doi:10.1016/j.anaerobe.2015.01.005 · Cited by 55
Dynamic bacterial and fungal microbiomes during sweet sorghum ensiling impact bioethanol production
Gallagher, D., Parker, D., Allen, D. J., & Tsesmetzis, N. (2018) · Bioresource Technology · doi:10.1016/j.biortech.2018.05.053 · Cited by 54
Matsuyama, M., Morrison, M., Cao, K.-A. L., Pruilh, S., Davies, P. S. W., Wall, C., Lovell, A., & Hill, R. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-48658-4 · Cited by 52
Nonalcoholic Steatohepatitis and HCC in a Hyperphagic Mouse Accelerated by Western Diet
Ganguly, S., Muench, G. A., Shang, L., Rosenthal, S. B., Rahman, G., Wang, R., Wang, Y., Kwon, H. C., Diomino, A. M., Kisseleva, T., et al. (2021) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2021.05.010 · Cited by 50
Wang, T., Yao, W., Li, J., Shao, Y., He, Q., Xia, J., & Huang, F. (2020) · Journal of Animal Science and Biotechnology · doi:10.1186/s40104-020-0426-6 · Cited by 51
RetractedDietary Habits of 2- to 9-Year-Old American Children Are Associated with Gut Microbiome Composition
Herman, D. R., Rhoades, N., Mercado, J., Argueta, P., Lopez, U., & Flores, G. E. (2020) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2019.07.024 · Cited by 50
Mi, L., Yang, B., Hu, X., Luo, Y., Liu, J., Yu, Z., & Wang, J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00575 · Cited by 50
Reichelt, A. C., Loughman, A., Bernard, A., Raipuria, M., Abbott, K. N., Dachtler, J., Van, T. T. H., & Moore, R. J. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2018.1537169 · Cited by 49
Gut microbiota in ALS: possible role in pathogenesis?
McCombe, P. A., Henderson, R. D., Lee, A., Lee, J. D., Woodruff, T. M., Restuadi, R., McRae, A., Wray, N. R., Ngo, S., & Steyn, F. J. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1623026 · Cited by 46
Methanogen diversity in indigenous and introduced ruminant species on the Tibetan plateau
Huang, X. D., Martinez-Fernandez, G., Padmanabha, J., Long, R., Denman, S. E., & McSweeney, C. S. (2016) · Archaea · doi:10.1155/2016/5916067 · Cited by 45
Holm, J. B., Rønnevik, A., Tastesen, H. S., Fjære, E., Fauske, K. R., Liisberg, U., Madsen, L., Kristiansen, K., & Liaset, B. (2016) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2015.12.017 · Cited by 45
Impact of the gut microbiota on enhancer accessibility in gut intraepithelial lymphocytes
Semenkovich, N. P., Planer, J. D., Ahern, P. P., Griffin, N. W., Lin, C. Y., & Gordon, J. I. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617793113 · Cited by 45
Fugl, A., Berhe, T., Kiran, A., Hussain, S., Laursen, M. F., Bahl, M. I., Hailu, Y., Sørensen, K. I., Guya, M. E., Ipsen, R., et al. (2017) · International Dairy Journal · doi:10.1016/j.idairyj.2017.04.007 · Cited by 44
Bertani, G., Levante, A., Lazzi, C., Bottari, B., Gatti, M., & Neviani, E. (2020) · Food Research International · doi:10.1016/j.foodres.2019.108860 · Cited by 43
Foulon, J., Zappelini, C., Durand, A., Valot, B., Blaudez, D., & Chalot, M. (2016) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiw163 · Cited by 42
Wang, X., Shang, Y., Wei, Q., Wu, X., Dou, H., Zhang, H., Zhou, S., Sha, W., Sun, G., Ma, S., et al. (2022) · Microbial Ecology · doi:10.1007/s00248-021-01806-8 · Cited by 36
Evaluating the capacity of human gut microorganisms to colonize the zebrafish larvae (Danio rerio)
Valenzuela, M.-J., Caruffo, M., Herrera, Y., Medina, D. A., Coronado, M., Feijóo, C. G., Muñoz, S., Garrido, D., Troncoso, M., Figueroa, G., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01032 · Cited by 39
Benjamim da Silva, É., Liu, X., Mellinger, C., Gressley, T. F., Stypinski, J. D., Moyer, N. A., & Kung, L. (2022) · Journal of Dairy Science · doi:10.3168/jds.2021-21515 · Cited by 36
Tremblay, A., Fatani, A., Ford, A. L., Piano, A., Nagulesapillai, V., Auger, J., MacPherson, C. W., Christman, M. C., Tompkins, T. A., & Dahl, W. J. (2021) · Journal of Dietary Supplements · doi:10.1080/19390211.2020.1749751 · Cited by 31
Dehau, T., Cherlet, M., Croubels, S., Van De Vliet, M., Goossens, E., & Van Immerseel, F. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1281090 · Cited by 33
Myer, P. R., McDaneld, T. G., Kuehn, L. A., Dedonder, K. D., Apley, M. D., Capik, S. F., Lubbers, B. V., Harhay, G. P., Harhay, D. M., Keele, J. W., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0235498 · Cited by 31
Esparbès, P., Legrand, A., Bandiaky, O. N., Chéraud-Carpentier, M., Martin, H., Montassier, E., & Soueidan, A. (2021) · Microorganisms · doi:10.3390/microorganisms9112364 · Cited by 24
Casaro, M. B., Thomas, A. M., Mendes, E., Fukumori, C., Ribeiro, W. R., Oliveira, F. A., Crisma, A. R., Murata, G. M., Bizzarro, B., Sá-Nunes, A., et al. (2021) · Microbiome · doi:10.1186/s40168-021-01081-2 · Cited by 24
Breastfeeding: a key modulator of gut microbiota characteristics in late infancy
Matsuyama, M., Gomez-Arango, L. F., Fukuma, N. M., Morrison, M., Davies, P. S. W., & Hill, R. J. (2019) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174418000624 · Cited by 22
Marungruang, N., Arévalo Sureda, E., Lefrançoise, A., Weström, B., Nyman, M., Prykhodko, O., & Fåk Hållenius, F. (2018) · Neurogastroenterology & Motility · doi:10.1111/nmo.13285 · Cited by 20
Gamage, H. K. A. H., Venturini, C., Tetu, S. G., Kabir, M., Nayyar, V., Ginn, A. N., Roychoudhry, B., Thomas, L., Brown, M., Holmes, A., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-85946-4 · Cited by 20
Ye, X., Yu, Y., Liu, J., Zhu, Y., Yu, Z., Liu, P., Wang, Y., & Wang, K. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1126238 · Cited by 20
Associations between Escherichia coli O157 shedding and the faecal microbiota of dairy cows
Stenkamp‐Strahm, C., McConnel, C., Magzamen, S., Abdo, Z., & Reynolds, S. (2018) · Journal of Applied Microbiology · doi:10.1111/jam.13679 · 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
Carvalho, P. H. V., Pinto, A. C. J., Millen, D. D., & Felix, T. L. (2020) · Journal of Animal Science · doi:10.1093/jas/skaa114 · Cited by 18
Le Luyer, J., Schull, Q., Auffret, P., Lopez, P., Crusot, M., Belliard, C., Basset, C., Carradec, Q., Poulain, J., Planes, S., et al. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00097-1 · Cited by 16
Alyousif, Z., Miller, J. L., Auger, J., Sandoval, M., Piano, A., Tompkins, T. A., & Dahl, W. J. (2020) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.1535 · Cited by 11
Improving microbial phylogeny with citizen science within a mass-market video game
Sarrazin-Gendron, R., Ghasemloo Gheidari, P., Butyaev, A., Keding, T., Cai, E., Zheng, J., Mutalova, R., Mounthanyvong, J., Zhu, Y., Nazarova, E., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02175-6 · Cited by 9
Assessing the Influence of Dietary History on Gut Microbiota
Yang, B., Ye, C., Yan, B., He, X., & Xing, K. (2019) · Current Microbiology · doi:10.1007/s00284-018-1616-8 · Cited by 8
Gut microbiota in multiple sclerosis: possible influence of immunomodulators
Cantarel, B. L., Waubant, E., Chehoud, C., Kuczynski, J., DeSantis, T. Z., Warrington, J., Venkatesan, A., Fraser, C. M., & Mowry, E. M. (2015) · Journal of Investigative Medicine · doi:10.1097/jim.0000000000000192 · Cited by 409
Self-citation
Metadata
- Authors
- DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Joint Genome Institute (US)
- Danish Genome Institute, Gustav Wieds vej 10 C, DK-8000 Aarhus C, Denmark
- Baylor University (US)
- University of California, Berkeley (US)
- The University of Queensland (AU)
- Chalmers University of Technology (SE)
- Corresponding author
- Andersen, G. L.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2006-07
- Volume
- 72
- Issue
- 7
- Pages
- 5069-5072
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W1988925586
- Semantic Scholar
- 41abf43dc718e271299457bce65bccfe3feeb9d6
- Cited by
- 10,891
- References
- 33
- Citations by year
- 2026: 220 · 2025: 384 · 2024: 545 · 2023: 576 · 2022: 741 · 2021: 1058 · 2020: 1148 · 2019: 1084 · 2018: 1054 · 2017: 964 · 2016: 770 · 2015: 561 · 2014: 441 · 2013: 317 · 2012: 296
- FWCI
- 36.66
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- University of North Texas Digital Library (University of North Texas) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Lawrence Berkeley National Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
- Keywords
- Greengenes, chimeric sequences, taxonomic classification, sequence alignment, angiotensin receptor blockers, bacterial taxonomy, archaeal taxonomy
- MeSH terms
- Archaea, Bacteria, Recombination, Genetic, RNA, Ribosomal, 16S, Software, Reproducibility of Results, Polymerase Chain Reaction, Sequence Alignment, Genes, rRNA, Databases, Nucleic Acid
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