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For: Integrative HMP (iHMP) Research Network Consortium. The Integrative Human Microbiome Project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease. Cell Host Microbe. 2014;16:276-289. [PMID: 25211071 DOI: 10.1016/j.chom.2014.08.014] [Cited by in Crossref: 272] [Cited by in F6Publishing: 214] [Article Influence: 38.9] [Reference Citation Analysis]
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1 Chong J, Xia J. Using MetaboAnalyst 4.0 for Metabolomics Data Analysis, Interpretation, and Integration with Other Omics Data. In: Li S, editor. Computational Methods and Data Analysis for Metabolomics. New York: Springer US; 2020. pp. 337-60. [DOI: 10.1007/978-1-0716-0239-3_17] [Cited by in Crossref: 38] [Cited by in F6Publishing: 34] [Article Influence: 19.0] [Reference Citation Analysis]
2 Schüssler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, Zhou W, Mishra T, Mataraso S, Dagan-Rosenfeld O, Ganz AB, Dunn J, Hornburg D, Rego S, Perelman D, Ahadi S, Sailani MR, Zhou Y, Leopold SR, Chen J, Ashland M, Christle JW, Avina M, Limcaoco P, Ruiz C, Tan M, Butte AJ, Weinstock GM, Slavich GM, Sodergren E, McLaughlin TL, Haddad F, Snyder MP. A longitudinal big data approach for precision health. Nat Med 2019;25:792-804. [PMID: 31068711 DOI: 10.1038/s41591-019-0414-6] [Cited by in Crossref: 151] [Cited by in F6Publishing: 116] [Article Influence: 50.3] [Reference Citation Analysis]
3 Zhang X, Yi N. NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis. BMC Bioinformatics 2020;21:488. [PMID: 33126862 DOI: 10.1186/s12859-020-03803-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Lugo-Martinez J, Ruiz-Perez D, Narasimhan G, Bar-Joseph Z. Dynamic interaction network inference from longitudinal microbiome data. Microbiome 2019;7:54. [PMID: 30940197 DOI: 10.1186/s40168-019-0660-3] [Cited by in Crossref: 25] [Cited by in F6Publishing: 14] [Article Influence: 8.3] [Reference Citation Analysis]
5 Das P, Marcišauskas S, Ji B, Nielsen J. Metagenomic analysis of bile salt biotransformation in the human gut microbiome. BMC Genomics 2019;20:517. [PMID: 31234773 DOI: 10.1186/s12864-019-5899-3] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 6.7] [Reference Citation Analysis]
6 Ollberding NJ, Völgyi E, Macaluso M, Kumar R, Morrow C, Tylavsky FA, Piyathilake CJ. Urinary Microbiota Associated with Preterm Birth: Results from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study. PLoS One 2016;11:e0162302. [PMID: 27611781 DOI: 10.1371/journal.pone.0162302] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
7 Shanthikumar S, Neeland MR, Maksimovic J, Ranganathan SC, Saffery R. DNA methylation biomarkers of future health outcomes in children. Mol Cell Pediatr 2020;7:7. [PMID: 32642955 DOI: 10.1186/s40348-020-00099-0] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Wu WK, Chen CC, Panyod S, Chen RA, Wu MS, Sheen LY, Chang SC. Optimization of fecal sample processing for microbiome study - The journey from bathroom to bench. J Formos Med Assoc 2019;118:545-55. [PMID: 29490879 DOI: 10.1016/j.jfma.2018.02.005] [Cited by in Crossref: 53] [Cited by in F6Publishing: 39] [Article Influence: 13.3] [Reference Citation Analysis]
9 Jeon SJ, Galvão KN. An Advanced Understanding of Uterine Microbial Ecology Associated with Metritis in Dairy Cows. Genomics Inform 2018;16:e21. [PMID: 30602082 DOI: 10.5808/GI.2018.16.4.e21] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 2.3] [Reference Citation Analysis]
10 Mohebali N, Ekat K, Kreikemeyer B, Breitrück A. Barrier Protection and Recovery Effects of Gut Commensal Bacteria on Differentiated Intestinal Epithelial Cells In Vitro. Nutrients 2020;12:E2251. [PMID: 32731411 DOI: 10.3390/nu12082251] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
11 Knight R, Vrbanac A, Taylor BC, Aksenov A, Callewaert C, Debelius J, Gonzalez A, Kosciolek T, Mccall L, Mcdonald D, Melnik AV, Morton JT, Navas J, Quinn RA, Sanders JG, Swafford AD, Thompson LR, Tripathi A, Xu ZZ, Zaneveld JR, Zhu Q, Caporaso JG, Dorrestein PC. Best practices for analysing microbiomes. Nat Rev Microbiol 2018;16:410-22. [DOI: 10.1038/s41579-018-0029-9] [Cited by in Crossref: 529] [Cited by in F6Publishing: 443] [Article Influence: 132.3] [Reference Citation Analysis]
12 Tremblay J, Yergeau E. Systematic processing of ribosomal RNA gene amplicon sequencing data. Gigascience 2019;8:giz146. [PMID: 31816087 DOI: 10.1093/gigascience/giz146] [Cited by in Crossref: 17] [Cited by in F6Publishing: 14] [Article Influence: 8.5] [Reference Citation Analysis]
13 Bender AC, Faulkner JA, Tulimieri K, Boise TH, Elkins KM. High Resolution Melt Assays to Detect and Identify Vibrio parahaemolyticus, Bacillus cereus, Escherichia coli, and Clostridioides difficile Bacteria. Microorganisms 2020;8:E561. [PMID: 32295121 DOI: 10.3390/microorganisms8040561] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
14 Bulow C, Langdon A, Hink T, Wallace M, Reske KA, Patel S, Sun X, Seiler S, Jones S, Kwon JH, Burnham CA, Dantas G, Dubberke ER. Impact of Amoxicillin-Clavulanate followed by Autologous Fecal Microbiota Transplantation on Fecal Microbiome Structure and Metabolic Potential. mSphere 2018;3:e00588-18. [PMID: 30463925 DOI: 10.1128/mSphereDirect.00588-18] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 2.8] [Reference Citation Analysis]
15 Hitchings R, Kelly L. Predicting and Understanding the Human Microbiome's Impact on Pharmacology. Trends Pharmacol Sci 2019;40:495-505. [PMID: 31171383 DOI: 10.1016/j.tips.2019.04.014] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 3.7] [Reference Citation Analysis]
16 Tanoue T, Morita S, Plichta DR, Skelly AN, Suda W, Sugiura Y, Narushima S, Vlamakis H, Motoo I, Sugita K, Shiota A, Takeshita K, Yasuma-Mitobe K, Riethmacher D, Kaisho T, Norman JM, Mucida D, Suematsu M, Yaguchi T, Bucci V, Inoue T, Kawakami Y, Olle B, Roberts B, Hattori M, Xavier RJ, Atarashi K, Honda K. A defined commensal consortium elicits CD8 T cells and anti-cancer immunity. Nature. 2019;565:600-605. [PMID: 30675064 DOI: 10.1038/s41586-019-0878-z] [Cited by in Crossref: 322] [Cited by in F6Publishing: 305] [Article Influence: 107.3] [Reference Citation Analysis]
17 Klymiuk I, Bambach I, Patra V, Trajanoski S, Wolf P. 16S Based Microbiome Analysis from Healthy Subjects' Skin Swabs Stored for Different Storage Periods Reveal Phylum to Genus Level Changes. Front Microbiol 2016;7:2012. [PMID: 28066342 DOI: 10.3389/fmicb.2016.02012] [Cited by in Crossref: 27] [Cited by in F6Publishing: 27] [Article Influence: 4.5] [Reference Citation Analysis]
18 Babickova J, Gardlik R. Pathological and therapeutic interactions between bacteriophages, microbes and the host in inflammatory bowel disease. World J Gastroenterol 2015; 21(40): 11321-11330 [PMID: 26525290 DOI: 10.3748/wjg.v21.i40.11321] [Cited by in CrossRef: 22] [Cited by in F6Publishing: 20] [Article Influence: 3.1] [Reference Citation Analysis]
19 Carrera-Quintanar L, Ortuño-Sahagún D, Franco-Arroyo NN, Viveros-Paredes JM, Zepeda-Morales AS, Lopez-Roa RI. The Human Microbiota and Obesity: A Literature Systematic Review of In Vivo Models and Technical Approaches. Int J Mol Sci 2018;19:E3827. [PMID: 30513674 DOI: 10.3390/ijms19123827] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
20 Das P, Babaei P, Nielsen J. Metagenomic analysis of microbe-mediated vitamin metabolism in the human gut microbiome. BMC Genomics 2019;20:208. [PMID: 30866812 DOI: 10.1186/s12864-019-5591-7] [Cited by in Crossref: 32] [Cited by in F6Publishing: 29] [Article Influence: 10.7] [Reference Citation Analysis]
21 Buttó LF, Haller D. Functional relevance of microbiome signatures: The correlation era requires tools for consolidation. Journal of Allergy and Clinical Immunology 2017;139:1092-8. [DOI: 10.1016/j.jaci.2017.02.010] [Cited by in Crossref: 19] [Cited by in F6Publishing: 11] [Article Influence: 3.8] [Reference Citation Analysis]
22 Ananthakrishnan AN, Luo C, Yajnik V, Khalili H, Garber JJ, Stevens BW, Cleland T, Xavier RJ. Gut Microbiome Function Predicts Response to Anti-integrin Biologic Therapy in Inflammatory Bowel Diseases. Cell Host Microbe 2017; 21: 603-610. e3. [PMID: 28494241 DOI: 10.1016/j.chom.2017.04.010] [Cited by in Crossref: 150] [Cited by in F6Publishing: 132] [Article Influence: 30.0] [Reference Citation Analysis]
23 Kumar A, Smith C, Jobin C, Trinchieri G, Howcroft TK, Seifried H, Espey MG, Flores R, Kim YS, Daschner PJ. Workshop Report: Modulation of Antitumor Immune Responses by Dietary and Microbial Metabolites. J Natl Cancer Inst 2017;109. [PMID: 30053241 DOI: 10.1093/jnci/djx040] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
24 Solbiati J, Frias-Lopez J. Metatranscriptome of the Oral Microbiome in Health and Disease. J Dent Res 2018;97:492-500. [PMID: 29518346 DOI: 10.1177/0022034518761644] [Cited by in Crossref: 34] [Cited by in F6Publishing: 27] [Article Influence: 8.5] [Reference Citation Analysis]
25 Glascock AL, Jimenez NR, Boundy S, Koparde VN, Brooks JP, Edwards DJ, Strauss Iii JF, Jefferson KK, Serrano MG, Buck GA, Fettweis JM. Unique roles of vaginal Megasphaera phylotypes in reproductive health. Microb Genom 2021;7. [PMID: 34898422 DOI: 10.1099/mgen.0.000526] [Reference Citation Analysis]
26 Wei ZG, Zhang XD, Cao M, Liu F, Qian Y, Zhang SW. Comparison of Methods for Picking the Operational Taxonomic Units From Amplicon Sequences. Front Microbiol 2021;12:644012. [PMID: 33841367 DOI: 10.3389/fmicb.2021.644012] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
27 Ma Y, Zhao J, Ma Y. MHSNMF: multi-view hessian regularization based symmetric nonnegative matrix factorization for microbiome data analysis. BMC Bioinformatics 2020;21:234. [PMID: 33203357 DOI: 10.1186/s12859-020-03555-w] [Reference Citation Analysis]
28 Yu Y, Raka F, Adeli K. The Role of the Gut Microbiota in Lipid and Lipoprotein Metabolism. J Clin Med 2019;8:E2227. [PMID: 31861086 DOI: 10.3390/jcm8122227] [Cited by in Crossref: 24] [Cited by in F6Publishing: 22] [Article Influence: 8.0] [Reference Citation Analysis]
29 Wang Q, Wang K, Wu W, Giannoulatou E, Ho JWK, Li L. Host and microbiome multi-omics integration: applications and methodologies. Biophys Rev. 2019;11:55-65. [PMID: 30627872 DOI: 10.1007/s12551-018-0491-7] [Cited by in Crossref: 35] [Cited by in F6Publishing: 29] [Article Influence: 11.7] [Reference Citation Analysis]
30 Thomas S, Izard J, Walsh E, Batich K, Chongsathidkiet P, Clarke G, Sela DA, Muller AJ, Mullin JM, Albert K, Gilligan JP, DiGuilio K, Dilbarova R, Alexander W, Prendergast GC. The Host Microbiome Regulates and Maintains Human Health: A Primer and Perspective for Non-Microbiologists. Cancer Res 2017;77:1783-812. [PMID: 28292977 DOI: 10.1158/0008-5472.CAN-16-2929] [Cited by in Crossref: 133] [Cited by in F6Publishing: 84] [Article Influence: 26.6] [Reference Citation Analysis]
31 Liu YK, Xu X, Zhou XD. [Potential application of human microbiomes in the diagnosis and treatment of type 2 diabetes mellitus]. Hua Xi Kou Qiang Yi Xue Za Zhi 2019;37:556-62. [PMID: 31721508 DOI: 10.7518/hxkq.2019.05.020] [Reference Citation Analysis]
32 Hidalgo-Cantabrana C, Sanozky-Dawes R, Barrangou R. Insights into the Human Virome Using CRISPR Spacers from Microbiomes. Viruses 2018;10:E479. [PMID: 30205462 DOI: 10.3390/v10090479] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
33 Carlson JM, Leonard AB, Hyde ER, Petrosino JF, Primm TP. Microbiome disruption and recovery in the fish Gambusia affinis following exposure to broad-spectrum antibiotic. Infect Drug Resist 2017;10:143-54. [PMID: 28533691 DOI: 10.2147/IDR.S129055] [Cited by in Crossref: 45] [Cited by in F6Publishing: 19] [Article Influence: 9.0] [Reference Citation Analysis]
34 Oliva M, Mulet-Margalef N, Ochoa-De-Olza M, Napoli S, Mas J, Laquente B, Alemany L, Duell EJ, Nuciforo P, Moreno V. Tumor-Associated Microbiome: Where Do We Stand? Int J Mol Sci 2021;22:1446. [PMID: 33535583 DOI: 10.3390/ijms22031446] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
35 Williamson IA, Arnold JW, Samsa LA, Gaynor L, DiSalvo M, Cocchiaro JL, Carroll I, Azcarate-Peril MA, Rawls JF, Allbritton NL, Magness ST. A High-Throughput Organoid Microinjection Platform to Study Gastrointestinal Microbiota and Luminal Physiology. Cell Mol Gastroenterol Hepatol 2018;6:301-19. [PMID: 30123820 DOI: 10.1016/j.jcmgh.2018.05.004] [Cited by in Crossref: 83] [Cited by in F6Publishing: 79] [Article Influence: 20.8] [Reference Citation Analysis]
36 Wang F, Zhu H, Hu M, Wang J, Xia H, Yang X, Yang L, Sun G. Perilla Oil Supplementation Improves Hypertriglyceridemia and Gut Dysbiosis in Diabetic KKAy Mice. Mol Nutr Food Res 2018;62:e1800299. [PMID: 30358922 DOI: 10.1002/mnfr.201800299] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 3.8] [Reference Citation Analysis]
37 Lichota A, Gwozdzinski K, Szewczyk EM. Microbial Modulation of Coagulation Disorders in Venous Thromboembolism. J Inflamm Res 2020;13:387-400. [PMID: 32801832 DOI: 10.2147/JIR.S258839] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
38 Pratt M, Forbes JD, Knox NC, Bernstein CN, Van Domselaar G. Microbiome-Mediated Immune Signaling in Inflammatory Bowel Disease and Colorectal Cancer: Support From Meta-omics Data. Front Cell Dev Biol 2021;9:716604. [PMID: 34869308 DOI: 10.3389/fcell.2021.716604] [Reference Citation Analysis]
39 Schiebenhoefer H, Van Den Bossche T, Fuchs S, Renard BY, Muth T, Martens L. Challenges and promise at the interface of metaproteomics and genomics: an overview of recent progress in metaproteogenomic data analysis. Expert Rev Proteomics 2019;16:375-90. [PMID: 31002542 DOI: 10.1080/14789450.2019.1609944] [Cited by in Crossref: 26] [Cited by in F6Publishing: 21] [Article Influence: 8.7] [Reference Citation Analysis]
40 Zhao F, An R, Wang L, Shan J, Wang X. Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients. Front Cell Infect Microbiol 2021;11:725284. [PMID: 34527604 DOI: 10.3389/fcimb.2021.725284] [Reference Citation Analysis]
41 Chen X, Liu L, Zhang W, Yang J, Wong KC. Human host status inference from temporal microbiome changes via recurrent neural networks. Brief Bioinform 2021:bbab223. [PMID: 34151933 DOI: 10.1093/bib/bbab223] [Reference Citation Analysis]
42 Ritchie SC, Watts S, Fearnley LG, Holt KE, Abraham G, Inouye M. A Scalable Permutation Approach Reveals Replication and Preservation Patterns of Network Modules in Large Datasets. Cell Syst 2016;3:71-82. [PMID: 27467248 DOI: 10.1016/j.cels.2016.06.012] [Cited by in Crossref: 31] [Cited by in F6Publishing: 19] [Article Influence: 10.3] [Reference Citation Analysis]
43 Zhang R, Gao X, Bai H, Ning K. Traditional Chinese Medicine and Gut Microbiome: Their Respective and Concert Effects on Healthcare. Front Pharmacol 2020;11:538. [PMID: 32390855 DOI: 10.3389/fphar.2020.00538] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
44 Wang C, Hu J, Blaser MJ, Li H. Microbial trend analysis for common dynamic trend, group comparison, and classification in longitudinal microbiome study. BMC Genomics 2021;22:667. [PMID: 34525957 DOI: 10.1186/s12864-021-07948-w] [Reference Citation Analysis]
45 Panagi M, Georgila K, Eliopoulos AG, Apidianakis Y. Constructing personalized longitudinal holo'omes of colon cancer-prone humans and their modeling in flies and mice. Oncotarget 2019;10:4224-46. [PMID: 31289620 DOI: 10.18632/oncotarget.6463] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 1.1] [Reference Citation Analysis]
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47 Wang Y, Zhou Y, Xiao X, Zheng J, Zhou H. Metaproteomics: A strategy to study the taxonomy and functionality of the gut microbiota. Journal of Proteomics 2020;219:103737. [DOI: 10.1016/j.jprot.2020.103737] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 8.0] [Reference Citation Analysis]
48 Yu XL, Chan Y, Zhuang L, Lai HC, Lang NP, Keung Leung W, Watt RM. Intra-oral single-site comparisons of periodontal and peri-implant microbiota in health and disease. Clin Oral Implants Res 2019;30:760-76. [PMID: 31102416 DOI: 10.1111/clr.13459] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 7.3] [Reference Citation Analysis]
49 Cueva C, Gil-Sánchez I, Ayuda-Durán B, González-Manzano S, González-Paramás AM, Santos-Buelga C, Bartolomé B, Moreno-Arribas MV. An Integrated View of the Effects of Wine Polyphenols and Their Relevant Metabolites on Gut and Host Health. Molecules 2017;22:E99. [PMID: 28067835 DOI: 10.3390/molecules22010099] [Cited by in Crossref: 67] [Cited by in F6Publishing: 56] [Article Influence: 13.4] [Reference Citation Analysis]
50 Hiergeist A, Gessner J, Gessner A. Current Limitations for the Assessment of the Role of the Gut Microbiome for Attention Deficit Hyperactivity Disorder (ADHD). Front Psychiatry 2020;11:623. [PMID: 32670122 DOI: 10.3389/fpsyt.2020.00623] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
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52 Zhang X, Yi N. Fast zero-inflated negative binomial mixed modeling approach for analyzing longitudinal metagenomics data. Bioinformatics 2020;36:2345-51. [PMID: 31904815 DOI: 10.1093/bioinformatics/btz973] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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55 Qv L, Mao S, Li Y, Zhang J, Li L. Roles of Gut Bacteriophages in the Pathogenesis and Treatment of Inflammatory Bowel Disease. Front Cell Infect Microbiol 2021;11:755650. [PMID: 34900751 DOI: 10.3389/fcimb.2021.755650] [Reference Citation Analysis]
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59 Willis JR, Gabaldón T. The Human Oral Microbiome in Health and Disease: From Sequences to Ecosystems. Microorganisms 2020;8:E308. [PMID: 32102216 DOI: 10.3390/microorganisms8020308] [Cited by in Crossref: 51] [Cited by in F6Publishing: 40] [Article Influence: 25.5] [Reference Citation Analysis]
60 Armstrong H, Alipour M, Valcheva R, Bording-Jorgensen M, Jovel J, Zaidi D, Shah P, Lou Y, Ebeling C, Mason AL, Lafleur D, Jerasi J, Wong GK, Madsen K, Carroll MW, Huynh HQ, Dieleman LA, Wine E. Host immunoglobulin G selectively identifies pathobionts in pediatric inflammatory bowel diseases. Microbiome 2019;7:1. [PMID: 30606251 DOI: 10.1186/s40168-018-0604-3] [Cited by in Crossref: 56] [Cited by in F6Publishing: 28] [Article Influence: 18.7] [Reference Citation Analysis]
61 Yan D, Cao L, Zhou M, Mohimani H. TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data. Metabolites 2022;12:119. [DOI: 10.3390/metabo12020119] [Reference Citation Analysis]
62 McGaughey KD, Yilmaz-Swenson T, Elsayed NM, Cruz DA, Rodriguez RR, Kritzer MD, Peterchev AV, Gray M, Lewis SR, Roach J, Wetsel WC, Williamson DE. Comparative evaluation of a new magnetic bead-based DNA extraction method from fecal samples for downstream next-generation 16S rRNA gene sequencing. PLoS One 2018;13:e0202858. [PMID: 30138447 DOI: 10.1371/journal.pone.0202858] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
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64 Chen H, Nwe PK, Yang Y, Rosen CE, Bielecka AA, Kuchroo M, Cline GW, Kruse AC, Ring AM, Crawford JM, Palm NW. A Forward Chemical Genetic Screen Reveals Gut Microbiota Metabolites That Modulate Host Physiology. Cell 2019;177:1217-1231.e18. [PMID: 31006530 DOI: 10.1016/j.cell.2019.03.036] [Cited by in Crossref: 93] [Cited by in F6Publishing: 83] [Article Influence: 31.0] [Reference Citation Analysis]
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