159 related articles for article (PubMed ID: 35722279)
1. Nitrogen Cycling Microbial Diversity and Operational Taxonomic Unit Clustering: When to Prioritize Accuracy Over Speed.
Egenriether S; Sanford R; Yang WH; Kent AD
Front Microbiol; 2022; 13():730340. PubMed ID: 35722279
[TBL] [Abstract][Full Text] [Related]
2. De novo clustering methods outperform reference-based methods for assigning 16S rRNA gene sequences to operational taxonomic units.
Westcott SL; Schloss PD
PeerJ; 2015; 3():e1487. PubMed ID: 26664811
[TBL] [Abstract][Full Text] [Related]
3. OptiClust, an Improved Method for Assigning Amplicon-Based Sequence Data to Operational Taxonomic Units.
Westcott SL; Schloss PD
mSphere; 2017; 2(2):. PubMed ID: 28289728
[TBL] [Abstract][Full Text] [Related]
4. Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity.
He Y; Caporaso JG; Jiang XT; Sheng HF; Huse SM; Rideout JR; Edgar RC; Kopylova E; Walters WA; Knight R; Zhou HW
Microbiome; 2015; 3():20. PubMed ID: 25995836
[TBL] [Abstract][Full Text] [Related]
5. Ecological Observations Based on Functional Gene Sequencing Are Sensitive to the Amplicon Processing Method.
Cholet F; Lisik A; Agogué H; Ijaz UZ; Pineau P; Lachaussée N; Smith CJ
mSphere; 2022 Aug; 7(4):e0032422. PubMed ID: 35938727
[TBL] [Abstract][Full Text] [Related]
6. An independent evaluation in a CRC patient cohort of microbiome 16S rRNA sequence analysis methods: OTU clustering, DADA2, and Deblur.
Liu G; Li T; Zhu X; Zhang X; Wang J
Front Microbiol; 2023; 14():1178744. PubMed ID: 37560524
[TBL] [Abstract][Full Text] [Related]
7. Phylogenetically Structured Differences in rRNA Gene Sequence Variation among Species of Arbuscular Mycorrhizal Fungi and Their Implications for Sequence Clustering.
House GL; Ekanayake S; Ruan Y; Schütte UM; Kaonongbua W; Fox G; Ye Y; Bever JD
Appl Environ Microbiol; 2016 Aug; 82(16):4921-30. PubMed ID: 27260357
[TBL] [Abstract][Full Text] [Related]
8. Microbially facilitated nitrogen cycling in tropical corals.
Glaze TD; Erler DV; Siljanen HMP
ISME J; 2022 Jan; 16(1):68-77. PubMed ID: 34226659
[TBL] [Abstract][Full Text] [Related]
9. OptiFit: an Improved Method for Fitting Amplicon Sequences to Existing OTUs.
Sovacool KL; Westcott SL; Mumphrey MB; Dotson GA; Schloss PD
mSphere; 2022 Feb; 7(1):e0091621. PubMed ID: 35107341
[TBL] [Abstract][Full Text] [Related]
10. A heritability-based comparison of methods used to cluster 16S rRNA gene sequences into operational taxonomic units.
Jackson MA; Bell JT; Spector TD; Steves CJ
PeerJ; 2016; 4():e2341. PubMed ID: 27635321
[TBL] [Abstract][Full Text] [Related]
11. Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis.
Schloss PD; Westcott SL
Appl Environ Microbiol; 2011 May; 77(10):3219-26. PubMed ID: 21421784
[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. DNACLUST: accurate and efficient clustering of phylogenetic marker genes.
Ghodsi M; Liu B; Pop M
BMC Bioinformatics; 2011 Jun; 12():271. PubMed ID: 21718538
[TBL] [Abstract][Full Text] [Related]
14. The effect of low-abundance OTU filtering methods on the reliability and variability of microbial composition assessed by 16S rRNA amplicon sequencing.
Nikodemova M; Holzhausen EA; Deblois CL; Barnet JH; Peppard PE; Suen G; Malecki KM
Front Cell Infect Microbiol; 2023; 13():1165295. PubMed ID: 37377642
[TBL] [Abstract][Full Text] [Related]
15. MSClust: A Multi-Seeds based Clustering algorithm for microbiome profiling using 16S rRNA sequence.
Chen W; Cheng Y; Zhang C; Zhang S; Zhao H
J Microbiol Methods; 2013 Sep; 94(3):347-55. PubMed ID: 23899776
[TBL] [Abstract][Full Text] [Related]
16. OTUX: V-region specific OTU database for improved 16S rRNA OTU picking and efficient cross-study taxonomic comparison of microbiomes.
Yadav D; Dutta A; Mande SS
DNA Res; 2019 Apr; 26(2):147-156. PubMed ID: 30624596
[TBL] [Abstract][Full Text] [Related]
17. Evaluating the accuracy of amplicon-based microbiome computational pipelines on simulated human gut microbial communities.
Golob JL; Margolis E; Hoffman NG; Fredricks DN
BMC Bioinformatics; 2017 May; 18(1):283. PubMed ID: 28558684
[TBL] [Abstract][Full Text] [Related]
18. Metagenomic insights into nitrogen and phosphorus cycling at the soil aggregate scale driven by organic material amendments.
Wu X; Peng J; Liu P; Bei Q; Rensing C; Li Y; Yuan H; Liesack W; Zhang F; Cui Z
Sci Total Environ; 2021 Sep; 785():147329. PubMed ID: 33940418
[TBL] [Abstract][Full Text] [Related]
19. Application of a Database-Independent Approach To Assess the Quality of Operational Taxonomic Unit Picking Methods.
Schloss PD
mSystems; 2016; 1(2):. PubMed ID: 27832214
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
