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Data mining analysis of terminal restriction fragment length polymorphism shows geographical differences in the human gut microbiota.

Andoh A, Kobayashi T, Kuzuoka H, Suzuki Y, Matsui T, Nakamura S, Matsumoto T, Fujiyama Y, Bamba T.

Biomed Rep. 2013 Jul;1(4):559-562. Epub 2013 May 30.


Characterization of gut microbiota profiles by disease activity in patients with Crohn's disease using data mining analysis of terminal restriction fragment length polymorphisms.

Andoh A, Kobayashi T, Kuzuoka H, Tsujikawa T, Suzuki Y, Hirai F, Matsui T, Nakamura S, Matsumoto T, Fujiyama Y.

Biomed Rep. 2014 May;2(3):370-373. Epub 2014 Mar 14.


Identification of Human Intestinal Microbiota of 92 Men by Data Mining for 5 Characteristics, i.e., Age, BMI, Smoking Habit, Cessation Period of Previous Smokers and Drinking Habit.

Kobayashi T, Jin JS, Kibe R, Touyama M, Tanaka Y, Benno Y, Fujiwara K, Shimakawa M, Maruo T, Toda T, Matsuda I, Tagami H, Matsumoto M, Seo G, Sato N, Chounan O, Benno Y.

Biosci Microbiota Food Health. 2013;32(4):129-37. doi: 10.12938/bmfh.32.129. Epub 2013 May 15.


Comparison of the accuracy and mechanism of data mining identification of the intestinal microbiota with 7 restriction enzymes.

Kobayashi T, Fujiwara K.

Biosci Microbiota Food Health. 2013;32(4):139-48. doi: 10.12938/bmfh.32.139. Epub 2013 Oct 30.


Applying Data Mining to Classify Age by Intestinal Microbiota in 92 Healthy Men Using a Combination of Several Restriction Enzymes for T-RFLP Experiments.

Kobayashi T, Osaki T, Oikawa S.

Biosci Microbiota Food Health. 2014;33(2):65-78. doi: 10.12938/bmfh.33.65. Epub 2014 Apr 29.


Comparison between terminal-restriction fragment length polymorphism (T-RFLP) and quantitative culture for analysis of infants' gut microbiota.

Sjöberg F, Nowrouzian F, Rangel I, Hannoun C, Moore E, Adlerberth I, Wold AE.

J Microbiol Methods. 2013 Jul;94(1):37-46. doi: 10.1016/j.mimet.2013.04.002. Epub 2013 Apr 11.


Technical Aspects of Nominal Partitions on Accuracy of Data Mining Classification of Intestinal Microbiota - Comparison between 7 Restriction Enzymes.

Kobayashi T, Fujiwara K.

Biosci Microbiota Food Health. 2014;33(3):129-38. doi: 10.12938/bmfh.33.129. Epub 2014 May 16.


Identification of Heavy Smokers through Their Intestinal Microbiota by Data Mining Analysis.

Kobayashi T, Fujiwara K.

Biosci Microbiota Food Health. 2013;32(2):77-80. doi: 10.12938/bmfh.32.77. Epub 2013 Apr 27.


Terminal-restriction fragment length polymorphism (T-RFLP) analysis for changes in the gut microbiota profiles of indomethacin- and rebamipide-treated mice.

Imaeda H, Fujimoto T, Takahashi K, Kasumi E, Fujiyama Y, Andoh A.

Digestion. 2012;86(3):250-7. doi: 10.1159/000341508. Epub 2012 Sep 7.


Use of T-RFLP and seven restriction enzymes to compare the faecal microbiota of obese and lean Japanese healthy men.

Kobayashi T, Osaki T, Oikawa S.

Benef Microbes. 2015 Jun 3:1-12. [Epub ahead of print]


Influence of antimicrobial feed additives on broiler commensal posthatch gut microbiota development and performance.

Torok VA, Allison GE, Percy NJ, Ophel-Keller K, Hughes RJ.

Appl Environ Microbiol. 2011 May;77(10):3380-90. doi: 10.1128/AEM.02300-10. Epub 2011 Mar 25.


A combined sequence-based and fragment-based characterization of microbial eukaryote assemblages provides taxonomic context for the Terminal Restriction Fragment Length Polymorphism (T-RFLP) method.

Kim DY, Countway PD, Yamashita W, Caron DA.

J Microbiol Methods. 2012 Dec;91(3):527-36. doi: 10.1016/j.mimet.2012.09.026. Epub 2012 Oct 3.


Comparison of the gut microbiota composition between obese and non-obese individuals in a Japanese population, as analyzed by terminal restriction fragment length polymorphism and next-generation sequencing.

Kasai C, Sugimoto K, Moritani I, Tanaka J, Oya Y, Inoue H, Tameda M, Shiraki K, Ito M, Takei Y, Takase K.

BMC Gastroenterol. 2015 Aug 11;15:100. doi: 10.1186/s12876-015-0330-2.


Development of a PCR-restriction fragment length polymorphism assay for the epidemiological analysis of Shiga toxin-producing Escherichia coli.

Shima K, Terajima J, Sato T, Nishimura K, Tamura K, Watanabe H, Takeda Y, Yamasaki S.

J Clin Microbiol. 2004 Nov;42(11):5205-13.


The influence of the cage system and colonisation of Salmonella Enteritidis on the microbial gut flora of laying hens studied by T-RFLP and 454 pyrosequencing.

Nordentoft S, Mølbak L, Bjerrum L, De Vylder J, Van Immerseel F, Pedersen K.

BMC Microbiol. 2011 Aug 22;11:187. doi: 10.1186/1471-2180-11-187.


Terminal restriction fragment length polymorphism analysis of the diversity of fecal microbiota in patients with ulcerative colitis.

Andoh A, Sakata S, Koizumi Y, Mitsuyama K, Fujiyama Y, Benno Y.

Inflamm Bowel Dis. 2007 Aug;13(8):955-62.


Intracolony variation of bacterial gut microbiota among castes and ages in the fungus-growing termite Macrotermes gilvus.

Hongoh Y, Ekpornprasit L, Inoue T, Moriya S, Trakulnaleamsai S, Ohkuma M, Noparatnaraporn N, Kudo T.

Mol Ecol. 2006 Feb;15(2):505-16.


Multicenter analysis of fecal microbiota profiles in Japanese patients with Crohn's disease.

Andoh A, Kuzuoka H, Tsujikawa T, Nakamura S, Hirai F, Suzuki Y, Matsui T, Fujiyama Y, Matsumoto T.

J Gastroenterol. 2012 Dec;47(12):1298-307. doi: 10.1007/s00535-012-0605-0. Epub 2012 May 11.


Standard colonic lavage alters the natural state of mucosal-associated microbiota in the human colon.

Harrell L, Wang Y, Antonopoulos D, Young V, Lichtenstein L, Huang Y, Hanauer S, Chang E.

PLoS One. 2012;7(2):e32545. doi: 10.1371/journal.pone.0032545. Epub 2012 Feb 28.

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