542 related articles for article (PubMed ID: 30298252)
1. Processing a 16S rRNA Sequencing Dataset with the Microbiome Helper Workflow.
Douglas GM; Comeau AM; Langille MGI
Methods Mol Biol; 2018; 1849():131-141. PubMed ID: 30298252
[TBL] [Abstract][Full Text] [Related]
2. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis.
Whelan FJ; Surette MG
Microbiome; 2017 Aug; 5(1):100. PubMed ID: 28807046
[TBL] [Abstract][Full Text] [Related]
3. Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering.
Franzén O; Hu J; Bao X; Itzkowitz SH; Peter I; Bashir A
Microbiome; 2015 Oct; 3():43. PubMed ID: 26434730
[TBL] [Abstract][Full Text] [Related]
4. Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research.
Comeau AM; Douglas GM; Langille MG
mSystems; 2017; 2(1):. PubMed ID: 28066818
[TBL] [Abstract][Full Text] [Related]
5. Microbiome Analysis Using 16S Amplicon Sequencing: From Samples to ASVs.
Amir A
Methods Mol Biol; 2021; 2243():123-141. PubMed ID: 33606256
[TBL] [Abstract][Full Text] [Related]
6. Species-level bacterial community profiling of the healthy sinonasal microbiome using Pacific Biosciences sequencing of full-length 16S rRNA genes.
Earl JP; Adappa ND; Krol J; Bhat AS; Balashov S; Ehrlich RL; Palmer JN; Workman AD; Blasetti M; Sen B; Hammond J; Cohen NA; Ehrlich GD; Mell JC
Microbiome; 2018 Oct; 6(1):190. PubMed ID: 30352611
[TBL] [Abstract][Full Text] [Related]
7. Instruction of microbiome taxonomic profiling based on 16S rRNA sequencing.
Kim H; Kim S; Jung S
J Microbiol; 2020 Mar; 58(3):193-205. PubMed ID: 32108315
[TBL] [Abstract][Full Text] [Related]
8. Different next generation sequencing platforms produce different microbial profiles and diversity in cystic fibrosis sputum.
Hahn A; Sanyal A; Perez GF; Colberg-Poley AM; Campos J; Rose MC; Pérez-Losada M
J Microbiol Methods; 2016 Nov; 130():95-99. PubMed ID: 27609714
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. High-resolution ISR amplicon sequencing reveals personalized oral microbiome.
Mukherjee C; Beall CJ; Griffen AL; Leys EJ
Microbiome; 2018 Sep; 6(1):153. PubMed ID: 30185233
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Assessment of a 16S rRNA amplicon Illumina sequencing procedure for studying the microbiome of a symbiont-rich aphid genus.
Jousselin E; Clamens AL; Galan M; Bernard M; Maman S; Gschloessl B; Duport G; Meseguer AS; Calevro F; Coeur d'acier A
Mol Ecol Resour; 2016 May; 16(3):628-40. PubMed ID: 26458227
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Intrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplification.
Ziesemer KA; Mann AE; Sankaranarayanan K; Schroeder H; Ozga AT; Brandt BW; Zaura E; Waters-Rist A; Hoogland M; Salazar-García DC; Aldenderfer M; Speller C; Hendy J; Weston DA; MacDonald SJ; Thomas GH; Collins MJ; Lewis CM; Hofman C; Warinner C
Sci Rep; 2015 Nov; 5():16498. PubMed ID: 26563586
[TBL] [Abstract][Full Text] [Related]
16. Processing and Analyzing Human Microbiome Data.
Zhu X; Wang J; Reyes-Gibby C; Shete S
Methods Mol Biol; 2017; 1666():649-677. PubMed ID: 28980268
[TBL] [Abstract][Full Text] [Related]
17. Measuring the diversity of the human microbiota with targeted next-generation sequencing.
Finotello F; Mastrorilli E; Di Camillo B
Brief Bioinform; 2018 Jul; 19(4):679-692. PubMed ID: 28025179
[TBL] [Abstract][Full Text] [Related]
18. Normalization of Microbiome Profiling Data.
McMurdie PJ
Methods Mol Biol; 2018; 1849():143-168. PubMed ID: 30298253
[TBL] [Abstract][Full Text] [Related]
19. Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data.
Aßhauer KP; Wemheuer B; Daniel R; Meinicke P
Bioinformatics; 2015 Sep; 31(17):2882-4. PubMed ID: 25957349
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
