132 related articles for article (PubMed ID: 35432480)
1. Incorporation of Data From Multiple Hypervariable Regions when Analyzing Bacterial 16S rRNA Gene Sequencing Data.
Jones CB; White JR; Ernst SE; Sfanos KS; Peiffer LB
Front Genet; 2022; 13():799615. PubMed ID: 35432480
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Multi-amplicon microbiome data analysis pipelines for mixed orientation sequences using QIIME2: Assessing reference database, variable region and pre-processing bias in classification of mock bacterial community samples.
Maki KA; Wolff B; Varuzza L; Green SJ; Barb JJ
PLoS One; 2023; 18(1):e0280293. PubMed ID: 36638095
[TBL] [Abstract][Full Text] [Related]
4. Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples.
López-Aladid R; Fernández-Barat L; Alcaraz-Serrano V; Bueno-Freire L; Vázquez N; Pastor-Ibáñez R; Palomeque A; Oscanoa P; Torres A
Sci Rep; 2023 Mar; 13(1):3974. PubMed ID: 36894603
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Comparison of different hypervariable regions of 16S rRNA for taxonomic profiling of vaginal microbiota using next-generation sequencing.
Sirichoat A; Sankuntaw N; Engchanil C; Buppasiri P; Faksri K; Namwat W; Chantratita W; Lulitanond V
Arch Microbiol; 2021 Apr; 203(3):1159-1166. PubMed ID: 33221964
[TBL] [Abstract][Full Text] [Related]
7. Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing.
Abellan-Schneyder I; Matchado MS; Reitmeier S; Sommer A; Sewald Z; Baumbach J; List M; Neuhaus K
mSphere; 2021 Feb; 6(1):. PubMed ID: 33627512
[TBL] [Abstract][Full Text] [Related]
8. rpoB, a promising marker for analyzing the diversity of bacterial communities by amplicon sequencing.
Ogier JC; Pagès S; Galan M; Barret M; Gaudriault S
BMC Microbiol; 2019 Jul; 19(1):171. PubMed ID: 31357928
[TBL] [Abstract][Full Text] [Related]
9. NG-Tax, a highly accurate and validated pipeline for analysis of 16S rRNA amplicons from complex biomes.
Ramiro-Garcia J; Hermes GDA; Giatsis C; Sipkema D; Zoetendal EG; Schaap PJ; Smidt H
F1000Res; 2016; 5():1791. PubMed ID: 30918626
[No Abstract] [Full Text] [Related]
10. Design and Evaluation of Illumina MiSeq-Compatible, 18S rRNA Gene-Specific Primers for Improved Characterization of Mixed Phototrophic Communities.
Bradley IM; Pinto AJ; Guest JS
Appl Environ Microbiol; 2016 Oct; 82(19):5878-91. PubMed ID: 27451454
[TBL] [Abstract][Full Text] [Related]
11. An accurate and efficient experimental approach for characterization of the complex oral microbiota.
Zheng W; Tsompana M; Ruscitto A; Sharma A; Genco R; Sun Y; Buck MJ
Microbiome; 2015 Oct; 3():48. PubMed ID: 26437933
[TBL] [Abstract][Full Text] [Related]
12. Impact of DNA extraction method and targeted 16S-rRNA hypervariable region on oral microbiota profiling.
Teng F; Darveekaran Nair SS; Zhu P; Li S; Huang S; Li X; Xu J; Yang F
Sci Rep; 2018 Nov; 8(1):16321. PubMed ID: 30397210
[TBL] [Abstract][Full Text] [Related]
13. Optimisation of methods for bacterial skin microbiome investigation: primer selection and comparison of the 454 versus MiSeq platform.
Castelino M; Eyre S; Moat J; Fox G; Martin P; Ho P; Upton M; Barton A
BMC Microbiol; 2017 Jan; 17(1):23. PubMed ID: 28109256
[TBL] [Abstract][Full Text] [Related]
14. Optimisation of 16S rRNA gut microbiota profiling of extremely low birth weight infants.
Alcon-Giner C; Caim S; Mitra S; Ketskemety J; Wegmann U; Wain J; Belteki G; Clarke P; Hall LJ
BMC Genomics; 2017 Nov; 18(1):841. PubMed ID: 29096601
[TBL] [Abstract][Full Text] [Related]
15. Data-Driven Modeling for Species-Level Taxonomic Assignment From 16S rRNA: Application to Human Microbiomes.
Gwak HJ; Rho M
Front Microbiol; 2020; 11():570825. PubMed ID: 33262743
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of different 16S rRNA gene hypervariable regions and reference databases for profiling engineered microbiota structure and functional guilds in a swine wastewater treatment plant.
Lin L; Ju F
Interface Focus; 2023 Aug; 13(4):20230012. PubMed ID: 37303742
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of the effects of intrapartum antibiotic prophylaxis on newborn intestinal microbiota using a sequencing approach targeted to multi hypervariable 16S rDNA regions.
Aloisio I; Quagliariello A; De Fanti S; Luiselli D; De Filippo C; Albanese D; Corvaglia LT; Faldella G; Di Gioia D
Appl Microbiol Biotechnol; 2016 Jun; 100(12):5537-46. PubMed ID: 26971496
[TBL] [Abstract][Full Text] [Related]
18. Comparison of the full-length sequence and sub-regions of 16S rRNA gene for skin microbiome profiling.
Zhang H; Wang X; Chen A; Li S; Tao R; Chen K; Huang P; Li L; Huang J; Li C; Zhang S
mSystems; 2024 Jun; ():e0039924. PubMed ID: 38934545
[TBL] [Abstract][Full Text] [Related]
19. Performance comparison of Illumina and ion torrent next-generation sequencing platforms for 16S rRNA-based bacterial community profiling.
Salipante SJ; Kawashima T; Rosenthal C; Hoogestraat DR; Cummings LA; Sengupta DJ; Harkins TT; Cookson BT; Hoffman NG
Appl Environ Microbiol; 2014 Dec; 80(24):7583-91. PubMed ID: 25261520
[TBL] [Abstract][Full Text] [Related]
20. Construction & assessment of a unified curated reference database for improving the taxonomic classification of bacteria using 16S rRNA sequence data.
Agnihotry S; Sarangi AN; Aggarwal R
Indian J Med Res; 2020 Jan; 151(1):93-103. PubMed ID: 32134020
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
