587 related articles for article (PubMed ID: 30552195)
41. Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies.
Thorsen J; Brejnrod A; Mortensen M; Rasmussen MA; Stokholm J; Al-Soud WA; Sørensen S; Bisgaard H; Waage J
Microbiome; 2016 Nov; 4(1):62. PubMed ID: 27884206
[TBL] [Abstract][Full Text] [Related]
42. Comparative evaluation of analytical pipelines for illumina short- and nanopore long-read 16S rRNA gene amplicon sequencing with mock microbial communities.
Ota Y; Yasunaga K; Mahazu S; Prah I; Nagai S; Hayashi T; Suzuki M; Yoshida M; Hoshino Y; Akeda Y; Suzuki T; Gu Y; Saito R
J Microbiol Methods; 2024 Jun; 221():106929. PubMed ID: 38599390
[TBL] [Abstract][Full Text] [Related]
43. A comparison of sequencing platforms and bioinformatics pipelines for compositional analysis of the gut microbiome.
Allali I; Arnold JW; Roach J; Cadenas MB; Butz N; Hassan HM; Koci M; Ballou A; Mendoza M; Ali R; Azcarate-Peril MA
BMC Microbiol; 2017 Sep; 17(1):194. PubMed ID: 28903732
[TBL] [Abstract][Full Text] [Related]
44. Synthetic spike-in standards for high-throughput 16S rRNA gene amplicon sequencing.
Tourlousse DM; Yoshiike S; Ohashi A; Matsukura S; Noda N; Sekiguchi Y
Nucleic Acids Res; 2017 Feb; 45(4):e23. PubMed ID: 27980100
[TBL] [Abstract][Full Text] [Related]
45. Revealing the composition of the eukaryotic microbiome of oyster spat by CRISPR-Cas Selective Amplicon Sequencing (CCSAS).
Zhong KX; Cho A; Deeg CM; Chan AM; Suttle CA
Microbiome; 2021 Nov; 9(1):230. PubMed ID: 34823604
[TBL] [Abstract][Full Text] [Related]
46. Making and Sequencing Heavily Multiplexed, High-Throughput 16S Ribosomal RNA Gene Amplicon Libraries Using a Flexible, Two-Stage PCR Protocol.
Naqib A; Poggi S; Wang W; Hyde M; Kunstman K; Green SJ
Methods Mol Biol; 2018; 1783():149-169. PubMed ID: 29767361
[TBL] [Abstract][Full Text] [Related]
47. Characterization of the Rat Gut Microbiota via 16S rRNA Amplicon Library Sequencing.
Ericsson AC; Busi SB; Amos-Landgraf JM
Methods Mol Biol; 2019; 2018():195-212. PubMed ID: 31228158
[TBL] [Abstract][Full Text] [Related]
48. Characterising the Canine Oral Microbiome by Direct Sequencing of Reverse-Transcribed rRNA Molecules.
McDonald JE; Larsen N; Pennington A; Connolly J; Wallis C; Rooks DJ; Hall N; McCarthy AJ; Allison HE
PLoS One; 2016; 11(6):e0157046. PubMed ID: 27276347
[TBL] [Abstract][Full Text] [Related]
49. Sample tracking in microbiome community profiling assays using synthetic 16S rRNA gene spike-in controls.
Tourlousse DM; Ohashi A; Sekiguchi Y
Sci Rep; 2018 Jun; 8(1):9095. PubMed ID: 29904073
[TBL] [Abstract][Full Text] [Related]
50. Comprehensive Assessment of 16S rRNA Gene Amplicon Sequencing for Microbiome Profiling across Multiple Habitats.
Zhang W; Fan X; Shi H; Li J; Zhang M; Zhao J; Su X
Microbiol Spectr; 2023 Jun; 11(3):e0056323. PubMed ID: 37102867
[TBL] [Abstract][Full Text] [Related]
51. Community ecology across bacteria, archaea and microbial eukaryotes in the sediment and seawater of coastal Puerto Nuevo, Baja California.
Ul-Hasan S; Bowers RM; Figueroa-Montiel A; Licea-Navarro AF; Beman JM; Woyke T; Nobile CJ
PLoS One; 2019; 14(2):e0212355. PubMed ID: 30763377
[TBL] [Abstract][Full Text] [Related]
52. Insights into Antarctic microbiomes: diversity patterns for terrestrial and marine habitats.
Bendia AG; Moreira JCF; Ferreira JCN; Romano RG; Ferreira IGC; Franco DC; Evangelista H; Montone RC; Pellizari VH
An Acad Bras Cienc; 2023; 95(suppl 3):e20211442. PubMed ID: 37820122
[TBL] [Abstract][Full Text] [Related]
53. Microbial Community Composition in the Marine Sediments of Jeju Island: Next-Generation Sequencing Surveys.
Choi H; Koh HW; Kim H; Chae JC; Park SJ
J Microbiol Biotechnol; 2016 May; 26(5):883-90. PubMed ID: 26869600
[TBL] [Abstract][Full Text] [Related]
54. RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys.
Xie C; Goi CL; Huson DH; Little PF; Williams RB
BMC Bioinformatics; 2016 Dec; 17(Suppl 19):508. PubMed ID: 28155666
[TBL] [Abstract][Full Text] [Related]
55. Profiling the Gastrointestinal Microbiota.
Posteraro B; De Maio F; Gasbarrini A
Methods Mol Biol; 2021; 2283():83-92. PubMed ID: 33765312
[TBL] [Abstract][Full Text] [Related]
56. Generating amplicon reads for microbial community assessment with next-generation sequencing.
Gołębiewski M; Tretyn A
J Appl Microbiol; 2020 Feb; 128(2):330-354. PubMed ID: 31299126
[TBL] [Abstract][Full Text] [Related]
57. Quantitative microbiome profiling links gut community variation to microbial load.
Vandeputte D; Kathagen G; D'hoe K; Vieira-Silva S; Valles-Colomer M; Sabino J; Wang J; Tito RY; De Commer L; Darzi Y; Vermeire S; Falony G; Raes J
Nature; 2017 Nov; 551(7681):507-511. PubMed ID: 29143816
[TBL] [Abstract][Full Text] [Related]
58. Profiling Total Viable Bacteria in a Hemodialysis Water Treatment System.
Chen L; Zhu X; Zhang M; Wang Y; Lv T; Zhang S; Yu X
J Microbiol Biotechnol; 2017 May; 27(5):995-1004. PubMed ID: 28285498
[TBL] [Abstract][Full Text] [Related]
59. Microbial signatures of oral dysbiosis, periodontitis and edentulism revealed by Gene Meter methodology.
Hunter MC; Pozhitkov AE; Noble PA
J Microbiol Methods; 2016 Dec; 131():85-101. PubMed ID: 27717873
[TBL] [Abstract][Full Text] [Related]
60. Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting.
Heyse J; Schattenberg F; Rubbens P; Müller S; Waegeman W; Boon N; Props R
mSystems; 2021 Oct; 6(5):e0055121. PubMed ID: 34546074
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
