493 related articles for article (PubMed ID: 23308262)
21. TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution.
Rohwer RR; Hamilton JJ; Newton RJ; McMahon KD
mSphere; 2018 Sep; 3(5):. PubMed ID: 30185512
[TBL] [Abstract][Full Text] [Related]
22. Status of the Archaeal and Bacterial Census: an Update.
Schloss PD; Girard RA; Martin T; Edwards J; Thrash JC
mBio; 2016 May; 7(3):. PubMed ID: 27190214
[TBL] [Abstract][Full Text] [Related]
23. Combining 16S rRNA gene variable regions enables high-resolution microbial community profiling.
Fuks G; Elgart M; Amir A; Zeisel A; Turnbaugh PJ; Soen Y; Shental N
Microbiome; 2018 Jan; 6(1):17. PubMed ID: 29373999
[TBL] [Abstract][Full Text] [Related]
24. Construction of habitat-specific training sets to achieve species-level assignment in 16S rRNA gene datasets.
F Escapa I; Huang Y; Chen T; Lin M; Kokaras A; Dewhirst FE; Lemon KP
Microbiome; 2020 May; 8(1):65. PubMed ID: 32414415
[TBL] [Abstract][Full Text] [Related]
25. Nanopore sequencing of long ribosomal DNA amplicons enables portable and simple biodiversity assessments with high phylogenetic resolution across broad taxonomic scale.
Krehenwinkel H; Pomerantz A; Henderson JB; Kennedy SR; Lim JY; Swamy V; Shoobridge JD; Graham N; Patel NH; Gillespie RG; Prost S
Gigascience; 2019 May; 8(5):. PubMed ID: 30824940
[TBL] [Abstract][Full Text] [Related]
26. Comparing bacterial communities inferred from 16S rRNA gene sequencing and shotgun metagenomics.
Shah N; Tang H; Doak TG; Ye Y
Pac Symp Biocomput; 2011; ():165-76. PubMed ID: 21121044
[TBL] [Abstract][Full Text] [Related]
27. High-throughput amplicon sequencing and stream benthic bacteria: identifying the best taxonomic level for multiple-stressor research.
Salis RK; Bruder A; Piggott JJ; Summerfield TC; Matthaei CD
Sci Rep; 2017 Mar; 7():44657. PubMed ID: 28327636
[TBL] [Abstract][Full Text] [Related]
28. Metagenomic study of the oral microbiota by Illumina high-throughput sequencing.
Lazarevic V; Whiteson K; Huse S; Hernandez D; Farinelli L; Osterås M; Schrenzel J; François P
J Microbiol Methods; 2009 Dec; 79(3):266-71. PubMed ID: 19796657
[TBL] [Abstract][Full Text] [Related]
29. The effect of taxonomic classification by full-length 16S rRNA sequencing with a synthetic long-read technology.
Jeong J; Yun K; Mun S; Chung WH; Choi SY; Nam YD; Lim MY; Hong CP; Park C; Ahn YJ; Han K
Sci Rep; 2021 Jan; 11(1):1727. PubMed ID: 33462291
[TBL] [Abstract][Full Text] [Related]
30. To compare the performance of prokaryotic taxonomy classifiers using curated 16S full-length rRNA sequences.
Hung YM; Lyu WN; Tsai ML; Liu CL; Lai LC; Tsai MH; Chuang EY
Comput Biol Med; 2022 Jun; 145():105416. PubMed ID: 35313206
[TBL] [Abstract][Full Text] [Related]
31. High-resolution microbiome analysis enabled by linking of 16S rRNA gene sequences with adjacent genomic contexts.
Kapustina Ž; Medžiūnė J; Alzbutas G; Rokaitis I; Matjošaitis K; Mackevičius G; Žeimytė S; Karpus L; Lubys A
Microb Genom; 2021 Sep; 7(9):. PubMed ID: 34473015
[TBL] [Abstract][Full Text] [Related]
32. Species identification and profiling of complex microbial communities using shotgun Illumina sequencing of 16S rRNA amplicon sequences.
Ong SH; Kukkillaya VU; Wilm A; Lay C; Ho EX; Low L; Hibberd ML; Nagarajan N
PLoS One; 2013; 8(4):e60811. PubMed ID: 23579286
[TBL] [Abstract][Full Text] [Related]
33. Comparison Between Full-Length 16S rRNA Metabarcoding and Whole Metagenome Sequencing Suggests the Use of Either Is Suitable for Large-Scale Microbiome Studies.
Rubiola S; Macori G; Civera T; Fanning S; Mitchell M; Chiesa F
Foodborne Pathog Dis; 2022 Jul; 19(7):495-504. PubMed ID: 35819265
[TBL] [Abstract][Full Text] [Related]
34. The bias associated with amplicon sequencing does not affect the quantitative assessment of bacterial community dynamics.
Ibarbalz FM; Pérez MV; Figuerola EL; Erijman L
PLoS One; 2014; 9(6):e99722. PubMed ID: 24923665
[TBL] [Abstract][Full Text] [Related]
35. An extended single-index multiplexed 16S rRNA sequencing for microbial community analysis on MiSeq illumina platforms.
Derakhshani H; Tun HM; Khafipour E
J Basic Microbiol; 2016 Mar; 56(3):321-6. PubMed ID: 26426811
[TBL] [Abstract][Full Text] [Related]
36. A Bayesian taxonomic classification method for 16S rRNA gene sequences with improved species-level accuracy.
Gao X; Lin H; Revanna K; Dong Q
BMC Bioinformatics; 2017 May; 18(1):247. PubMed ID: 28486927
[TBL] [Abstract][Full Text] [Related]
37. Optimized bacterial community characterization through full-length 16S rRNA gene sequencing utilizing MinION nanopore technology.
Bertolo A; Valido E; Stoyanov J
BMC Microbiol; 2024 Feb; 24(1):58. PubMed ID: 38365589
[TBL] [Abstract][Full Text] [Related]
38. Generation of multimillion-sequence 16S rRNA gene libraries from complex microbial communities by assembling paired-end illumina reads.
Bartram AK; Lynch MD; Stearns JC; Moreno-Hagelsieb G; Neufeld JD
Appl Environ Microbiol; 2011 Jun; 77(11):3846-52. PubMed ID: 21460107
[TBL] [Abstract][Full Text] [Related]
39. Analysis of the intestinal microbiota using SOLiD 16S rRNA gene sequencing and SOLiD shotgun sequencing.
Mitra S; Förster-Fromme K; Damms-Machado A; Scheurenbrand T; Biskup S; Huson DH; Bischoff SC
BMC Genomics; 2013; 14 Suppl 5(Suppl 5):S16. PubMed ID: 24564472
[TBL] [Abstract][Full Text] [Related]
40. The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.
Brooks JP; Edwards DJ; Harwich MD; Rivera MC; Fettweis JM; Serrano MG; Reris RA; Sheth NU; Huang B; Girerd P; ; Strauss JF; Jefferson KK; Buck GA
BMC Microbiol; 2015 Mar; 15():66. PubMed ID: 25880246
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
