210 related articles for article (PubMed ID: 36814836)
21. 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]
22. Comparing Apples and Oranges?: Next Generation Sequencing and Its Impact on Microbiome Analysis.
Clooney AG; Fouhy F; Sleator RD; O' Driscoll A; Stanton C; Cotter PD; Claesson MJ
PLoS One; 2016; 11(2):e0148028. PubMed ID: 26849217
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. High-resolution shotgun metagenomics: the more data, the better?
Tremblay J; Schreiber L; Greer CW
Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36352504
[TBL] [Abstract][Full Text] [Related]
26. Identification of fungi in shotgun metagenomics datasets.
Donovan PD; Gonzalez G; Higgins DG; Butler G; Ito K
PLoS One; 2018; 13(2):e0192898. PubMed ID: 29444186
[TBL] [Abstract][Full Text] [Related]
27. Metagenomic Information Recovery from Human Stool Samples Is Influenced by Sequencing Depth and Profiling Method.
Santiago-Rodriguez TM; Garoutte A; Adams E; Nasser W; Ross MC; La Reau A; Henseler Z; Ward T; Knights D; Petrosino JF; Hollister EB
Genes (Basel); 2020 Nov; 11(11):. PubMed ID: 33233349
[TBL] [Abstract][Full Text] [Related]
28. Meta-Apo improves accuracy of 16S-amplicon-based prediction of microbiome function.
Jing G; Zhang Y; Cui W; Liu L; Xu J; Su X
BMC Genomics; 2021 Jan; 22(1):9. PubMed ID: 33407112
[TBL] [Abstract][Full Text] [Related]
29. Establishment and assessment of an amplicon sequencing method targeting the 16S-ITS-23S rRNA operon for analysis of the equine gut microbiome.
Kinoshita Y; Niwa H; Uchida-Fujii E; Nukada T
Sci Rep; 2021 Jun; 11(1):11884. PubMed ID: 34088956
[TBL] [Abstract][Full Text] [Related]
30. A comparison of six DNA extraction protocols for 16S, ITS and shotgun metagenomic sequencing of microbial communities.
Shaffer JP; Carpenter CS; Martino C; Salido RA; Minich JJ; Bryant M; Sanders K; Schwartz T; Humphrey G; Swafford AD; Knight R
Biotechniques; 2022 Jun; 73(1):34-46. PubMed ID: 35713407
[TBL] [Abstract][Full Text] [Related]
31. Comparative analysis of shotgun metagenomics and 16S rDNA sequencing of gut microbiota in migratory seagulls.
Liao F; Xia Y; Gu W; Fu X; Yuan B
PeerJ; 2023; 11():e16394. PubMed ID: 37941936
[TBL] [Abstract][Full Text] [Related]
32. Improving saliva shotgun metagenomics by chemical host DNA depletion.
Marotz CA; Sanders JG; Zuniga C; Zaramela LS; Knight R; Zengler K
Microbiome; 2018 Feb; 6(1):42. PubMed ID: 29482639
[TBL] [Abstract][Full Text] [Related]
33. Choice of DNA extraction method affects detection of bacterial taxa from retail chicken breast.
Flint A; Laidlaw A; Li L; Raitt C; Rao M; Cooper A; Weedmark K; Carrillo C; Tamber S
BMC Microbiol; 2022 Sep; 22(1):230. PubMed ID: 36180850
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Assessment of
Hugerth LW; Pereira M; Zha Y; Seifert M; Kaldhusdal V; Boulund F; Krog MC; Bashir Z; Hamsten M; Fransson E; Svarre-Nielsen H; Schuppe-Koistinen I; Engstrand L
mSphere; 2020 Nov; 5(6):. PubMed ID: 33208514
[TBL] [Abstract][Full Text] [Related]
36. Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences.
Narayan NR; Weinmaier T; Laserna-Mendieta EJ; Claesson MJ; Shanahan F; Dabbagh K; Iwai S; DeSantis TZ
BMC Genomics; 2020 Jan; 21(1):56. PubMed ID: 31952477
[TBL] [Abstract][Full Text] [Related]
37. MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data.
Fosso B; Santamaria M; D'Antonio M; Lovero D; Corrado G; Vizza E; Passaro N; Garbuglia AR; Capobianchi MR; Crescenzi M; Valiente G; Pesole G
Bioinformatics; 2017 Jun; 33(11):1730-1732. PubMed ID: 28130230
[TBL] [Abstract][Full Text] [Related]
38. An Introduction to Whole-Metagenome Shotgun Sequencing Studies.
Joseph TA; Pe'er I
Methods Mol Biol; 2021; 2243():107-122. PubMed ID: 33606255
[TBL] [Abstract][Full Text] [Related]
39. Microbial community analysis using high-throughput sequencing technology: a beginner's guide for microbiologists.
Jo J; Oh J; Park C
J Microbiol; 2020 Mar; 58(3):176-192. PubMed ID: 32108314
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
