The DOI matches its Crossref record; 179 of the 181 references it cites were found in a registry or an index.
Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome
Open accessAbstract
The advances in experimental methods and the development of high performance bioinformatic tools have substantially improved our understanding of microbial communities associated with human niches. Many studies have documented that changes in microbial abundance and composition of the human microbiome is associated with human health and diseased state. The majority of research on human microbiome is typically focused in the analysis of one level of biological information, i.e., metagenomics or metatranscriptomics. In this review, we describe some of the different experimental and bioinformatic strategies applied to analyze the 16S rRNA gene profiling and shotgun sequencing data of the human microbiome. We also discuss how some of the recent insights in the combination of metagenomics, metatranscriptomics and viromics can provide more detailed description on the interactions between microorganisms and viruses in oral and gut microbiomes. Recent studies on viromics have begun to gain importance due to the potential involvement of viruses in microbial dysbiosis. In addition, metatranscriptomic combined with metagenomic analysis have shown that a substantial fraction of microbial transcripts can be differentially regulated relative to their microbial genomic abundances. Thus, understanding the molecular interactions in the microbiome using the combination of metagenomics, metatranscriptomics and viromics is one of the main challenges towards a system level understanding of human microbiome.
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.
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?
In the citing paper
“This approach employs random fragmentation and adapter ligation sequence in an unbiased manner all extracted DNA, enabling more in‐depth analyses of the pan‐genomic gene content in microbiomes.3”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [3]
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
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
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
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 21,481
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., Adiconis, X., Fan, L., Raychowdhury, R., Zeng, Q., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1883 · Cited by 21,201
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
Flagged first, then by citations
2 of the 181 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 263
Yang, J., Lin, Y., Wei, Z., Wu, Z., Zhang, Q., Hao, J., Wang, S., & Li, A. (2023) · Fishes · doi:10.3390/fishes8010030 · Cited by 26
Lukhele, T., Selvarajan, R., Nyoni, H. H., Mamba, B. B., & Msagati, T. A. M. (2019) · Current Microbiology · doi:10.1007/s00284-019-01771-z · Cited by 24
Mametja, N. M., Ramadwa, T. E., Managa, M., & Masebe, T. M. (2025) · Plants · doi:10.3390/plants14162506 · Cited by 23
Yang, J., Zhang, Q., Zhang, T., Wang, S., Hao, J., Wu, Z., & Li, A. (2023) · Microorganisms · doi:10.3390/microorganisms11030544 · Cited by 22
Zhang, E., Claesson, M. J., & Cotter, P. D. (2026) · npj Science of Food · doi:10.1038/s41538-026-00740-8 · Cited by 23
A systematic sequencing-based approach for microbial contaminant detection and functional inference
Park, S., Onizuka, S., Seki, M., Suzuki, Y., Iwata, T., & Nakai, K. (2019) · BMC Biology · doi:10.1186/s12915-019-0690-0 · Cited by 22
Synergies of Systems Biology and Synthetic Biology in Human Microbiome Studies
Ezzamouri, B., Shoaie, S., & Ledesma‐Amaro, R. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.681982 · Cited by 24
Impact of the Microbiota on Viral Infections
Campbell, D. E., Li, Y., Ingle, H., & Baldridge, M. T. (2023) · Annual Review of Virology · doi:10.1146/annurev-virology-111821-115754 · Cited by 22
Biofilm consumption shapes the intestinal microbiota of shrimp (Penaeus vannamei )
Garibay-Valdéz, E., Martínez‐Córdova, L. R., Vargas‐Albores, F., Gollas‐Galván, T., Lago‐Lestón, A., Calderón, K., & Martínez‐Porchas, M. (2018) · Aquaculture Nutrition · doi:10.1111/anu.12868 · Cited by 22
Metagenomic Studies in Inflammatory Skin Diseases
Godlewska, U., Brzoza, P., Kwiecień, K., Kwitniewski, M., & Cichy, J. (2020) · Current Microbiology · doi:10.1007/s00284-020-02163-4 · Cited by 24
Ou, Y., Wu, M., Yu, Y., Liu, Z., Kang, H., Hu, M., Zhang, C., & Chen, X. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2024.137074 · Cited by 21
Tree Nut Consumption and Adipose Tissue Mass: Mechanisms of Action
Tindall, A. M., Petersen, K. S., Lamendella, R., Shearer, G. C., Murray‐Kolb, L. E., Proctor, D. N., & Kris‐Etherton, P. M. (2018) · Current Developments in Nutrition · doi:10.1093/cdn/nzy069 · Cited by 21
Jatuyosporn, T., Laohawutthichai, P., Ochoa‐Romo, J. P., Gallardo-Becerra, L., Sánchez, F., Tassanakajon, A., Ochoa‐Leyva, A., & Krusong, K. (2023) · Scientific Reports · doi:10.1038/s41598-023-27906-8 · Cited by 20
Self-citationBusing, J. D., Buendia, M. A., Choksi, Y. A., Hiremath, G. S., & Das, S. R. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.731034 · Cited by 20
Ullah, S., Hussain, B., Iqbal, N., Raza, M. M., Salam, M., Vasudhevan, P., Sani, S. G. A. S., & Pu, S. (2025) · Environmental Chemistry and Ecotoxicology · doi:10.1016/j.enceco.2025.10.017 · Cited by 23
Application of viromics: a new approach to the understanding of viral infections in humans
Ramamurthy, M., Sankar, S., Kannangai, R., Nandagopal, B., & Sridharan, G. (2017) · VirusDisease · doi:10.1007/s13337-017-0415-3 · Cited by 19
Osunmakinde, C. O., Selvarajan, R., Sibanda, T., Mamba, B. B., & Msagati, T. A. M. (2018) · Viruses · doi:10.3390/v10080429 · Cited by 20
Combining metagenomics and metatranscriptomics to study human, animal and environmental resistomes
Wang, Y., Hu, Y., & Gao, G. F. (2020) · Medicine in Microecology · doi:10.1016/j.medmic.2020.100014 · Cited by 20
Chauhan, N. S., Monika, Kumar, T., Sharma, P., & Goyal, K. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817193-6.00005-4 · Cited by 19
A review of bacteriophage and their application in domestic animals in a post-antibiotic era
Guo, X., Luo, G., Hou, F., Zhou, C., Liu, X., Lei, Z., Niu, D. X., Ran, T., & Tan, Z. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.174931 · Cited by 18
Sputum metagenomics in bronchiectasis reveals pan-European variation: an EMBARC-BRIDGE study
Thng, K. X., Tiew, P. Y., Aogáin, M. M., Narayana, J. K., Jaggi, T. K., Ivan, F. X., Shuttleworth, M. K., Long, M. B., Richardson, H., Lind, H., et al. (2025) · European Respiratory Journal · doi:10.1183/13993003.00054-2025 · Cited by 22
Speculations on the clinical significance of asymptomatic viral infections
Gentile, G., & Micozzi, A. (2016) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2016.07.016 · Cited by 18
Next-Generation Sequencing for the Detection of Microbial Agents in Avian Clinical Samples
Afonso, C. L., & Afonso, A. M. (2023) · Veterinary Sciences · doi:10.3390/vetsci10120690 · Cited by 17
From the Gut to the Brain: Is Microbiota a New Paradigm in Parkinson’s Disease Treatment?
Vilela, C., Araújo, B., Soares-Guedes, C., Caridade-Silva, R., Martins‐Macedo, J., Teixeira, C., Gomes, E. D., Prudêncio, C., Vieira, M., & Teixeira, F. G. (2024) · Cells · doi:10.3390/cells13090770 · Cited by 18
Pharmacometabolomics Informs Viromics toward Precision Medicine
Balasopoulou, A., Patrinos, G. P., & Κάτσιλα, Θ. (2016) · Frontiers in Pharmacology · doi:10.3389/fphar.2016.00411 · Cited by 16
Informal nutrition symposium: leveraging the microbiome (and the metabolome) for poultry production
Lee, M. D., Ipharraguerre, I. R., Arsenault, R. J., Lyte, M., Lyte, J. M., Humphrey, B. D., Angel, R., & Korver, D. R. (2021) · Poultry Science · doi:10.1016/j.psj.2021.101588 · Cited by 16
Pedrosa‐Gerasmio, I. R., Nozaki, R., Kondo, H., & Hırono, I. (2020) · Aquaculture Research · doi:10.1111/are.14750 · Cited by 15
Lee, H., Yoon, S., Dang, Y.-M., Yun, J., Jeong, H., Kim, K., Bae, J., & Ha, J. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1026513 · Cited by 14
Oral bacteriophages: metagenomic clues to interpret microbiomes
Banar, M., Rokaya, D., Azizian, R., Khurshid, Z., & Banakar, M. (2024) · PeerJ · doi:10.7717/peerj.16947 · Cited by 14
Bio‐therapeutics from human milk: prospects and perspectives
Singh, K. S., Singh, B. P., Rokana, N., Singh, N., Kaur, J., Singh, A., & Panwar, H. (2021) · Journal of Applied Microbiology · doi:10.1111/jam.15078 · Cited by 16
Cerebrospinal Fluid from Healthy Pregnant Women Does Not Harbor a Detectable Microbial Community
Kang, Y., Ji, X., Guo, L., Xia, H., Yang, X., Xie, Z., Shi, X., Wu, R., Feng, D., Wang, C., et al. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00769-21 · Cited by 13
Maela, M. P., & Serepa‐Dlamini, M. H. (2019) · Applied Microbiology open access · doi:10.4172/2471-9315.19.5.157 · Cited by 13
The Role of the Gut Microbiome in Hematological Cancers
Hussein, N., Rajasuriar, R., Khan, A. M., Lim, Y. A. L., & Gan, G. G. (2023) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-23-0080 · Cited by 12
Deng, D., Hu, S., Lin, Z., Geng, J., Qian, Z., Zhang, K., Ning, X., Cheng, Y., Zhang, C., & Yin, S. (2024) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2024.101288 · Cited by 12
Advances in omics data for eosinophilic esophagitis: moving towards multi-omics analyses
Matsuyama, K., Yamada, S., Sato, H., Zhan, J., & Shoda, T. (2024) · Journal of Gastroenterology · doi:10.1007/s00535-024-02151-6 · Cited by 12
Methods in microbiome research
Iyer, N. R. (2016) · Lab Animal · doi:10.1038/laban.1093 · Cited by 12
Méndez–García, C., Barbas, C., Ferrer, M., & Rojo, D. (2017) · Journal of Bacteriology · doi:10.1128/jb.00376-17 · Cited by 13
Detoxification of toxic heavy metals by serine protease inhibitor isolated from polluted soil
Mukherjee, A., Yadav, R. K., Marmeisse, R., Fraissinet‐Tachet, L., & Reddy, M. S. (2019) · International Biodeterioration & Biodegradation · doi:10.1016/j.ibiod.2019.104718 · Cited by 12
Calvete‐Torre, I., Sabater, C., Margollés, A., & Ruíz, L. (2023) · LWT · doi:10.1016/j.lwt.2023.115362 · Cited by 11
Field Metagenomics of Bacterial Community Involved in Bioremediation of Crude Oil-Polluted Soil
Ezekoye, C. C., Chikere, C. B., & Okpokwasili, G. C. (2018) · Journal of Bioremediation & Biodegradation · doi:10.4172/2155-6199.1000449 · Cited by 11
Yadav, S. K., Mehta, P., Soni, J., Chattopadhyay, P., Devi, P., Habyarimana, T., Tardalkar, K., Joshi, M. G., & Pandey, R. (2023) · iScience · doi:10.1016/j.isci.2023.108357 · Cited by 13
Aguilar-Rendón, K. G., Soto-Rodríguez, S. A., Gómez‐Gil, B., Lozano‐Olvera, R., & Yáñez‐Rivera, B. (2022) · Aquaculture · doi:10.1016/j.aquaculture.2021.737871 · Cited by 11
Role of gene regulation and inter species interaction as a key factor in gut microbiota adaptation
Gao, S., Khan, M. I., Kalsoom, F., Liu, Z., Chen, Y., & Chen, Z. (2022) · Archives of Microbiology · doi:10.1007/s00203-022-02935-5 · Cited by 11
Rajawat, J. (2018) · Springer eBooks · doi:10.1007/978-981-13-2925-8_3 · Cited by 10
Microbiome measurement: Possibilities and pitfalls
Radjabzadeh, D., Uitterlinden, A. G., & Kraaij, R. (2017) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2017.10.008 · Cited by 10
Microorganisms: the secret agents of the biosphere, and their key roles in biotechnology
de Oliveira, V. M., Andreote, F. D., Cardoso, P., Castro‐Gamboa, I., Costa-Lotufo, L. V., Polizeli, M. D. L. T. D. M., Thiemann, O. H., & Setúbal, J. C. (2022) · Biota Neotropica · doi:10.1590/1676-0611-bn-2022-1343 · Cited by 10
Impact of different oral treatments on the composition of the supragingival plaque microbiome
Rabe, A., Salazar, M. G., Michalik, S., Kocher, T., Below, H., Völker, U., & Welk, A. (2022) · Journal of Oral Microbiology · doi:10.1080/20002297.2022.2138251 · Cited by 10
MICROBIOTA DA PELE: NOVOS DESAFIOS
Sivieri, K., Crespo, C. D. C., Novak, J., Tobara, J. C., & Martins, W. K. (2021) · Arquivos Catarinenses de Medicina · doi:10.63845/e6zenk26 · Cited by 10
Whole-genome of Mexican-crAssphage isolated from the human gut microbiome
Cervantes-Echeverría, M., Equihua-Medina, E., Cornejo‐Granados, F., Hernández-Reyna, A., Sánchez, F., López-Contreras, B. E., Canizales‐Quinteros, S., & Ochoa‐Leyva, A. (2018) · BMC Research Notes · doi:10.1186/s13104-018-4010-5 · Cited by 10
Self-citationGoswami, K., Tripathi, A., Gautam, B., & Mishra, N. S. (2019) · doi:10.1002/9781119463665.ch20 · Cited by 10
Schultz, J., Jamil, T., Sengupta, P., Sivabalan, S. K. M., Rawat, A., Patel, N. S., Krishnamurthi, S., Alam, I. S., Singh, N. K., Raman, K., et al. (2025) · Microbiome · doi:10.1186/s40168-025-02082-1 · Cited by 9
Gupta, S., Bhargava, V., Kaur, J., & Lata, P. (2025) · 3 Biotech · doi:10.1007/s13205-025-04382-7 · Cited by 9
Human Gut Microbiome Analysis and Multi-omics Approach
Sirangelo, T. M. (2018) · International Journal of Pharma Medicine and Biological Sciences · doi:10.18178/ijpmbs.7.3.52-57 · Cited by 9
Oral microbial diversity analysis among atrophic glossitis patients and healthy individuals
Li, H., Sun, J.-L., Wang, X.-Y., & Shi, J. (2021) · Journal of Oral Microbiology · doi:10.1080/20002297.2021.1984063 · Cited by 6
Oncobiome at the Forefront of a Novel Molecular Mechanism to Understand the Microbiome and Cancer
la Vega, H. A., Alonso-Luna, O., Ali-Pérez, J., López‐Camarillo, C., & Ruíz‐García, E. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-24100-1_10 · Cited by 8
Taxonomic diversity and functional potential of microbial communities in oyster calcifying fluid
Unzueta‐Martínez, A., & Girguis, P. R. (2024) · Applied and Environmental Microbiology · doi:10.1128/aem.01094-24 · Cited by 9
The Feasibility of Phage Therapy for Periodontitis
Zhen, C., Guo, Z., Lin, H., Tian, Y., Zhang, P., Chen, H., Wang, Y., & Shen, Y. (2021) · Future Microbiology · doi:10.2217/fmb-2020-0161 · Cited by 8
kMetaShot: a fast and reliable taxonomy classifier for metagenome-assembled genomes
Defazio, G., Tangaro, M. A., Pesole, G., & Fosso, B. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae680 · Cited by 7
Increasing Reproducibility in Oral Microbiome Research
Gopinath, D., & Menon, R. K. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1518-8_1 · Cited by 7
On the core bacterial flora of Ixodes persulcatus (Taiga tick)
Sui, S., Yang, Y., Sun, Y. E., Wang, X., Wang, G., Shan, G., Wang, J., & Yu, J. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180150 · Cited by 7
Applying 3D cultures and high-throughput technologies to study host-pathogen interactions
Martinis, E. C. P. D., Alves, V. F., Pereira, M. G., Andrade, L. N., Abichabki, N. D. L. M., Abramova, A., Dannborg, M., & Bengtsson‐Palme, J. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1488699 · Cited by 6
Samudio-Cruz, M. A., Luna‐Angulo, A. B., Cabrera-Ruiz, E., Landa‐Solís, C., Rangel‐López, E., Carrillo‐Mora, P., Ríos-Martínez, J., Toledo-Pérez, R., Paniagua‐Pérez, R., Martínez-Canseco, C. J., et al. (2025) · Microorganisms · doi:10.3390/microorganisms13081727 · Cited by 8
Alterations of gut viral signals in atrial fibrillation: complex linkage with gut bacteriome
Zuo, K., Li, J., Chen, F., Zhong, J., Xu, L., & Yang, X. (2022) · Aging · doi:10.18632/aging.204222 · Cited by 6
Koepper, S., Clark, K. F., McClure, J. T., Revie, C. W., Stryhn, H., & Thakur, K. K. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1245818 · Cited by 6
Bharti, M. K., Siddique, R. A., Ranjan, K., Chandra, D., & Singh, N. P. (2021) · Springer eBooks · doi:10.1007/978-981-15-9758-9_3 · Cited by 6
Metagenomic Approaches for Studying Plant–Microbe Interactions
Mohan, S. M., & Pola, S. (2022) · Springer eBooks · doi:10.1007/978-981-19-3696-8_12 · Cited by 6
Application of Metatranscriptomics in Wastewater Treatment Processes
Ekwanzala, M. D., Budeli, P., & Unuofin, J. O. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821881-5.00008-8 · Cited by 6
MG7: Configurable and scalable 16S metagenomics data analysisPreprint
Alekhin, A., Kovach, E., Manrique, M., Pareja-Tobes, P., Pareja, E., Tobes, R., & Pareja-Tobes, E. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/027714 · Cited by 6
Hiremath, G. S., Choksi, Y. A., Correa, H., Jacobse, J., Das, S. R., Ma, S., Goettel, J. A., & Rajagopala, S. V. (2024) · Allergy · doi:10.1111/all.16208 · Cited by 5
Treatment of xerostomia in Sjögren’s syndrome – what effect does it have on the oral microbiome?
Muszyński, D., Kucharski, R., Marek-Trzonkowska, N. M., Kalinowska, M., Brzóska, A., Bolcewicz, M., Kalinowski, L., & Kaźmierczak-Siedlecka, K. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1484951 · Cited by 5
Quiroga, S., Ratering, S., Rosado-Porto, D., Rekowski, A., Schulz, F., Zörb, C., & Schnell, S. (2024) · Applied Soil Ecology · doi:10.1016/j.apsoil.2024.105823 · Cited by 5
Functional and taxonomic classification of a greenhouse water drain metagenome
López-Leal, G., Cornejo‐Granados, F., Hurtado-Ramírez, J. M., Mendoza-Vargas, A., & Ochoa‐Leyva, A. (2018) · Standards in Genomic Sciences · doi:10.1186/s40793-018-0326-y · Cited by 5
Self-citationMicrobiome-MX 2018: microbiota and microbiome opportunities in Mexico, a megadiverse country
Cornejo‐Granados, F., de la Barca, A. M. C., Torres, N., Martínez‐Romero, E., Torres, J., López‐Vidal, Y., Soberón, X., Partida‐Martínez, L. P., Pinto-Cardoso, S. M., Alcaraz, L. D., et al. (2019) · Research in Microbiology · doi:10.1016/j.resmic.2019.03.001 · Cited by 5
Self-citationFate of pathogens and viruses in hospital wastewater and their treatment methods
Talan, A., & Tyagi, R. D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819722-6.00005-5 · Cited by 5
He, Z., Zhao, J., Liao, X., Chen, X., Fu, Z., Sun, C., & Ni, Z. (2020) · Israeli Journal of Aquaculture - Bamidgeh · doi:10.46989/001c.21687 · Cited by 5
Ou, Y., Zhang, C., Wu, M., Yu, Y., Zhang, X., Hu, M., Gao, H., & Wu, X. (2025) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2025.118412 · Cited by 4
Fecal Microbiota Transplantation in Animals: Therapeutics, Conservation, and Farming
Reveles, K. R., Meehan, J., & Tillotson, G. (2025) · Microorganisms · doi:10.3390/microorganisms13112465 · Cited by 5
Hosen, M. E., Dunsdon, S., & Sarker, S. (2026) · Virology · doi:10.1016/j.virol.2026.110825 · Cited by 5
Methods for studying the forest tree microbiome
Blumenstein, K., Terhonen, E., Sun, H., & Asiegbu, F. O. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822542-4.00016-4 · Cited by 4
Koorakula, R., Ghanbari, M., Schiavinato, M., Wegl, G., Dohm, J. C., & Domig, K. J. (2022) · PeerJ · doi:10.7717/peerj.13547 · Cited by 8
Kazakova, P., Abasolo-Zabalo, N., de Cripan, S. M., Marquès, E., Cereto‐Massagué, A., García, L., Canela-Canela, N., Tormo, R., & Torrell-Galceran, H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098069 · Cited by 3
Jyoti, P., Bhardwaj, J., Kaushal, G., & Yadav, S. K. (2025) · ACS Agricultural Science & Technology · doi:10.1021/acsagscitech.5c00098 · Cited by 3
Aziz, S., Rasheed, F., Zahra, R., & König, S. (2023) · Life · doi:10.3390/life13020544 · Cited by 3
Koepper, S., Clark, K. F., McClure, J. T., Revie, C. W., Stryhn, H., & Thakur, K. K. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1320812 · Cited by 3
Feng, H., Song, L., Wu, Y., Zhao, F., Zhu, F., Song, Z., Zhang, K., Jiang, J., Cai, X., Yin, S., et al. (2025) · Pesticide Biochemistry and Physiology · doi:10.1016/j.pestbp.2025.106426 · Cited by 2
Comprehensive Advances on Probiotic-Fermented Medicine and Food Homology
Bu, D., Cheng, Y., Gao, W., Han, F., & Dong, H. (2025) · Fermentation · doi:10.3390/fermentation11120682 · Cited by 2
Predictive bioinformatics models in natural farming practices-bridging science and sustainability
Kumar, P., Sharma, S., Sharma, S., VERMA, S., & Chandel, R. S. (2026) · Environmental Sustainability · doi:10.1007/s42398-025-00411-6 · Cited by 2
Hosen, M. E., Horwood, P. F., & Sarker, S. (2026) · Journal of General Virology · doi:10.1099/jgv.0.002247 · Cited by 2
de Paula, R. M., Gieg, L. M., Duncan, K. E., Tsesmetzis, N., Eckert, R. B., & Skovhus, T. L. (2021) · NACE CORROSION Conference · doi:10.5006/c2021-16986 · Cited by 2
Valenzuela-Gutiérrez, R., Lago‐Lestón, A., Cicala, F., Hernández-Rodríguez, M., Barón-Sevilla, B., Armuelles-Bernal, C. E., Vargas‐Albores, F., Garibay-Valdéz, E., Gómez-Reyes, R., & Martínez‐Porchas, M. (2023) · Aquaculture International · doi:10.1007/s10499-023-01301-6 · Cited by 2
Alterations in microbiome of COVID-19 patients and its impact on forensic investigations
Mir, T. U. G., Manhas, S., Wani, A. K., Akhtar, N., Shukla, S., & Prakash, A. (2023) · Science & Justice · doi:10.1016/j.scijus.2023.12.002 · Cited by 2
Navigating Evolving Challenges in Blood Safety
Pourkarim, M. R. (2024) · Viruses · doi:10.3390/v16010123 · Cited by 2
Mathuria, A., Chaudhary, A., Sharma, H., & Mani, I. (2024) · Springer eBooks · doi:10.1007/978-981-97-1844-3_9 · Cited by 4
Mukherjee, A., Thakur, B., Pandey, A. K., Marmeisse, R., Fraissinet‐Tachet, L., & Reddy, S. M. (2020) · Ecotoxicology · doi:10.1007/s10646-020-02301-5 · Cited by 2
Role of the Microbiome in Pancreatic Cancer
Kurtom, S., Sethi, V., & Dudeja, V. (2021) · Springer eBooks · doi:10.1007/978-3-030-53786-9_19 · Cited by 2
Metagenómica y metatranscriptómica para mitigar las emisiones de metano por animales rumiantes
Martínez-Muñoz, D. S., Rivera-Cerón, F., Palacios-Solórzano, I., Ramírez-Martínez, B. A., Molina‐Aguilar, C., & Moguel, B. (2022) · TIP Revista Especializada en Ciencias Químico-Biológicas · doi:10.22201/fesz.23958723e.2022.430 · Cited by 3
Det orale mikrobiom - en opdatering for tandplejeteamet
Kilian, M., Chapple, I., Hannig, M., Marsh, P. D., Meuric, V., Pedersen, A. M. L., Tonetti, M. S., Wade, W. G., & Zaura, E. (2017) · Den norske tannlegeforenings Tidende · doi:10.56373/2017-5-4 · Cited by 2
Metatranscriptomics: A Recent Advancement to Explore and Understand Rhizosphere
Bajpai, R., Meher, J., Rashid, M. M., & Lingayat, D. (2021) · Springer eBooks · doi:10.1007/978-981-15-9758-9_26 · Cited by 2
Metagenomic Analysis and Their Application
Ghosh, A., Metha, A., & Khan, M. A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00286-4 · Cited by 2
Soil Biological Processes in Urban Soils
Gleeson, D. B. (2022) · Progress in soil science · doi:10.1007/978-3-030-87316-5_8 · Cited by 1
Metadata
- Authors
- Bikel, S., Valdez-Lara, A., Cornejo-Granados, F., Rico, K., Canizales-Quinteros, S., Soberón, X., Del Pozo-Yauner, L., & Ochoa-Leyva, A.
- Affiliations
- National Institute of Genomic Medicine (MX)
- Unidad de Genómica de Poblaciones Aplicada la Salud, Facultad de Química, UNAM, Instituto Nacional de Medicina Genómica (INMEGEN), México, D.F. 14610, Mexico
- Instituto Nacional de Medicina Genómica (INMEGEN), México, D.F., Mexico
- Venue
- Computational and Structural Biotechnology Journal
- Published
- 2015-01
- Volume
- 13
- Pages
- 390-401
- ISSN
- 2001-0370 (ISSN-L)
- PMC
- PMC4484546
- OpenAlex
- W1222064643
- Cited by
- 263
- References
- 181
- Citations by year
- 2026: 19 · 2025: 26 · 2024: 26 · 2023: 27 · 2022: 26 · 2021: 34 · 2020: 28 · 2019: 20 · 2018: 20 · 2017: 18 · 2016: 18 · 2015: 1
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computational and Structural Biotechnology Journal (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- CONACyT (CB-2013-223279, SALUD-2014-C01-234188)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Keywords
- human microbiome, metagenomics, metatranscriptomics, viromics, oral microbiota, gut microbiota, dysbiosis, 16S rRNA gene profiling, shotgun sequencing
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