302 related articles for article (PubMed ID: 33407112)
1. 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]
2. Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing.
Ranjan R; Rani A; Metwally A; McGee HS; Perkins DL
Biochem Biophys Res Commun; 2016 Jan; 469(4):967-77. PubMed ID: 26718401
[TBL] [Abstract][Full Text] [Related]
3. MicroPredict: predicting species-level taxonomic abundance of whole-shotgun metagenomic data using only 16S amplicon sequencing data.
Jang CS; Kim H; Kim D; Han B
Genes Genomics; 2024 Jun; 46(6):701-712. PubMed ID: 38700829
[TBL] [Abstract][Full Text] [Related]
4. Quantitative Assessment of Shotgun Metagenomics and 16S rDNA Amplicon Sequencing in the Study of Human Gut Microbiome.
Laudadio I; Fulci V; Palone F; Stronati L; Cucchiara S; Carissimi C
OMICS; 2018 Apr; 22(4):248-254. PubMed ID: 29652573
[TBL] [Abstract][Full Text] [Related]
5. Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON data.
Brumfield KD; Huq A; Colwell RR; Olds JL; Leddy MB
PLoS One; 2020; 15(2):e0228899. PubMed ID: 32053657
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Shallow shotgun sequencing of the microbiome recapitulates 16S amplicon results and provides functional insights.
Stothart MR; McLoughlin PD; Poissant J
Mol Ecol Resour; 2023 Apr; 23(3):549-564. PubMed ID: 36112078
[TBL] [Abstract][Full Text] [Related]
8. Multiomics Characterization of the Canada Goose Fecal Microbiome Reveals Selective Efficacy of Simulated Metagenomes.
Gil JC; Hird SM
Microbiol Spectr; 2022 Dec; 10(6):e0238422. PubMed ID: 36318011
[TBL] [Abstract][Full Text] [Related]
9. Taxonomic classification and abundance estimation using 16S and WGS-A comparison using controlled reference samples.
Khachatryan L; de Leeuw RH; Kraakman MEM; Pappas N; Te Raa M; Mei H; de Knijff P; Laros JFJ
Forensic Sci Int Genet; 2020 May; 46():102257. PubMed ID: 32058299
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Core of the saliva microbiome: an analysis of the MG-RAST data.
Oliveira SG; Nishiyama RR; Trigo CAC; Mattos-Guaraldi AL; Dávila AMR; Jardim R; Aguiar FHB
BMC Oral Health; 2021 Jul; 21(1):351. PubMed ID: 34271900
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy.
Zhu Q; Huang S; Gonzalez A; McGrath I; McDonald D; Haiminen N; Armstrong G; Vázquez-Baeza Y; Yu J; Kuczynski J; Sepich-Poore GD; Swafford AD; Das P; Shaffer JP; Lejzerowicz F; Belda-Ferre P; Havulinna AS; Méric G; Niiranen T; Lahti L; Salomaa V; Kim HC; Jain M; Inouye M; Gilbert JA; Knight R
mSystems; 2022 Apr; 7(2):e0016722. PubMed ID: 35369727
[TBL] [Abstract][Full Text] [Related]
15. PanFP: pangenome-based functional profiles for microbial communities.
Jun SR; Robeson MS; Hauser LJ; Schadt CW; Gorin AA
BMC Res Notes; 2015 Sep; 8():479. PubMed ID: 26409790
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. RiboFR-Seq: a novel approach to linking 16S rRNA amplicon profiles to metagenomes.
Zhang Y; Ji P; Wang J; Zhao F
Nucleic Acids Res; 2016 Jun; 44(10):e99. PubMed ID: 26984526
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Finding the right fit: evaluation of short-read and long-read sequencing approaches to maximize the utility of clinical microbiome data.
Gehrig JL; Portik DM; Driscoll MD; Jackson E; Chakraborty S; Gratalo D; Ashby M; Valladares R
Microb Genom; 2022 Mar; 8(3):. PubMed ID: 35302439
[TBL] [Abstract][Full Text] [Related]
20. Inference-based accuracy of metagenome prediction tools varies across sample types and functional categories.
Sun S; Jones RB; Fodor AA
Microbiome; 2020 Apr; 8(1):46. PubMed ID: 32241293
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
