319 related articles for article (PubMed ID: 27107375)
21. Comparison of reduced metagenome and 16S rRNA gene sequencing for determination of genetic diversity and mother-child overlap of the gut associated microbiota.
Ravi A; Avershina E; Angell IL; Ludvigsen J; Manohar P; Padmanaban S; Nachimuthu R; Snipen L; Rudi K
J Microbiol Methods; 2018 Jun; 149():44-52. PubMed ID: 29501688
[TBL] [Abstract][Full Text] [Related]
22. Quantitative Assessment of Shotgun Metagenomics and 16S rDNA Amplicon Sequencing in the Study of Human Gut Microbiome.
Laudadio I; Fulci V; Palone F; Stronati L; Cucchiara S; Carissimi C
OMICS; 2018 Apr; 22(4):248-254. PubMed ID: 29652573
[TBL] [Abstract][Full Text] [Related]
23. Deep learning models for bacteria taxonomic classification of metagenomic data.
Fiannaca A; La Paglia L; La Rosa M; Lo Bosco G; Renda G; Rizzo R; Gaglio S; Urso A
BMC Bioinformatics; 2018 Jul; 19(Suppl 7):198. PubMed ID: 30066629
[TBL] [Abstract][Full Text] [Related]
24. Advances in computational analysis of metagenome sequences.
Davenport CF; Tümmler B
Environ Microbiol; 2013 Jan; 15(1):1-5. PubMed ID: 22882611
[TBL] [Abstract][Full Text] [Related]
25. Analysis of the effect of smoking on the buccal microbiome using next-generation sequencing technology.
Karabudak S; Ari O; Durmaz B; Dal T; Basyigit T; Kalcioglu MT; Durmaz R
J Med Microbiol; 2019 Aug; 68(8):1148-1158. PubMed ID: 31199220
[TBL] [Abstract][Full Text] [Related]
26. A comprehensive method for amplicon-based and metagenomic characterization of viruses, bacteria, and eukaryotes in freshwater samples.
Uyaguari-Diaz MI; Chan M; Chaban BL; Croxen MA; Finke JF; Hill JE; Peabody MA; Van Rossum T; Suttle CA; Brinkman FS; Isaac-Renton J; Prystajecky NA; Tang P
Microbiome; 2016 Jul; 4(1):20. PubMed ID: 27391119
[TBL] [Abstract][Full Text] [Related]
27. Research Techniques Made Simple: Bacterial 16S Ribosomal RNA Gene Sequencing in Cutaneous Research.
Jo JH; Kennedy EA; Kong HH
J Invest Dermatol; 2016 Mar; 136(3):e23-e27. PubMed ID: 26902128
[TBL] [Abstract][Full Text] [Related]
28. Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.
Barb JJ; Oler AJ; Kim HS; Chalmers N; Wallen GR; Cashion A; Munson PJ; Ames NJ
PLoS One; 2016; 11(2):e0148047. PubMed ID: 26829716
[TBL] [Abstract][Full Text] [Related]
29. MicroPredict: predicting species-level taxonomic abundance of whole-shotgun metagenomic data using only 16S amplicon sequencing data.
Jang CS; Kim H; Kim D; Han B
Genes Genomics; 2024 Jun; 46(6):701-712. PubMed ID: 38700829
[TBL] [Abstract][Full Text] [Related]
30. Cultivation Versus Molecular Analysis of Banana (Musa sp.) Shoot-Tip Tissue Reveals Enormous Diversity of Normally Uncultivable Endophytic Bacteria.
Thomas P; Sekhar AC
Microb Ecol; 2017 May; 73(4):885-899. PubMed ID: 27833995
[TBL] [Abstract][Full Text] [Related]
31. Dental plaque microbiota sequence counts for microbial profiling and resistance genes detection.
Veschetti L; Paiella S; Carelli M; Zotti F; Secchettin E; Malleo G; Signoretto C; Zulianello G; Nocini R; Crovetto A; Salvia R; Bassi C; Malerba G
Appl Microbiol Biotechnol; 2024 May; 108(1):319. PubMed ID: 38709303
[TBL] [Abstract][Full Text] [Related]
32. Individual- and Species-Specific Skin Microbiomes in Three Different Estrildid Finch Species Revealed by 16S Amplicon Sequencing.
Engel K; Sauer J; Jünemann S; Winkler A; Wibberg D; Kalinowski J; Tauch A; Caspers BA
Microb Ecol; 2018 Aug; 76(2):518-529. PubMed ID: 29282519
[TBL] [Abstract][Full Text] [Related]
33. Detection of Microorganisms in Body Fluid Samples.
Ji X; Ni S; Tian G; Zhang L; Wang W
Methods Mol Biol; 2023; 2695():73-88. PubMed ID: 37450112
[TBL] [Abstract][Full Text] [Related]
34. Effects of sampling strategy and DNA extraction on human skin microbiome investigations.
Bjerre RD; Hugerth LW; Boulund F; Seifert M; Johansen JD; Engstrand L
Sci Rep; 2019 Nov; 9(1):17287. PubMed ID: 31754146
[TBL] [Abstract][Full Text] [Related]
35. Meta'omic analytic techniques for studying the intestinal microbiome.
Morgan XC; Huttenhower C
Gastroenterology; 2014 May; 146(6):1437-1448.e1. PubMed ID: 24486053
[TBL] [Abstract][Full Text] [Related]
36. An efficient method for high molecular weight bacterial DNA extraction suitable for shotgun metagenomics from skin swabs.
Serghiou IR; Baker D; Evans R; Dalby MJ; Kiu R; Trampari E; Phillips S; Watt R; Atkinson T; Murphy B; Hall LJ; Webber MA
Microb Genom; 2023 Jul; 9(7):. PubMed ID: 37428148
[TBL] [Abstract][Full Text] [Related]
37. Investigating the cow skin and teat canal microbiomes of the bovine udder using different sampling and sequencing approaches.
Dean CJ; Slizovskiy IB; Crone KK; Pfennig AX; Heins BJ; Caixeta LS; Noyes NR
J Dairy Sci; 2021 Jan; 104(1):644-661. PubMed ID: 33131828
[TBL] [Abstract][Full Text] [Related]
38. Selection of marker genes for genetic barcoding of microorganisms and binning of metagenomic reads by Barcoder software tools.
Rotimi AM; Pierneef R; Reva ON
BMC Bioinformatics; 2018 Aug; 19(1):309. PubMed ID: 30165813
[TBL] [Abstract][Full Text] [Related]
39. Use of whole genome shotgun metagenomics: a practical guide for the microbiome-minded physician scientist.
Ma J; Prince A; Aagaard KM
Semin Reprod Med; 2014 Jan; 32(1):5-13. PubMed ID: 24390915
[TBL] [Abstract][Full Text] [Related]
40. A fast and robust protocol for metataxonomic analysis using RNAseq data.
Cox JW; Ballweg RA; Taft DH; Velayutham P; Haslam DB; Porollo A
Microbiome; 2017 Jan; 5(1):7. PubMed ID: 28103917
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
