158 related articles for article (PubMed ID: 23387433)
1. M-pick, a modularity-based method for OTU picking of 16S rRNA sequences.
Wang X; Yao J; Sun Y; Mai V
BMC Bioinformatics; 2013 Feb; 14():43. PubMed ID: 23387433
[TBL] [Abstract][Full Text] [Related]
2. DMclust, a Density-based Modularity Method for Accurate OTU Picking of 16S rRNA Sequences.
Wei ZG; Zhang SW; Zhang YZ
Mol Inform; 2017 Dec; 36(12):. PubMed ID: 28586119
[TBL] [Abstract][Full Text] [Related]
3. MtHc: a motif-based hierarchical method for clustering massive 16S rRNA sequences into OTUs.
Wei ZG; Zhang SW
Mol Biosyst; 2015 Jul; 11(7):1907-13. PubMed ID: 25912934
[TBL] [Abstract][Full Text] [Related]
4. DBH: A de Bruijn graph-based heuristic method for clustering large-scale 16S rRNA sequences into OTUs.
Wei ZG; Zhang SW
J Theor Biol; 2017 Jul; 425():80-87. PubMed ID: 28454900
[TBL] [Abstract][Full Text] [Related]
5. hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction.
Park S; Choi HS; Lee B; Chun J; Won JH; Yoon S
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(2):441-451. PubMed ID: 26930691
[TBL] [Abstract][Full Text] [Related]
6. Machine learning classification by fitting amplicon sequences to existing OTUs.
Armour CR; Sovacool KL; Close WL; Topçuoğlu BD; Wiens J; Schloss PD
mSphere; 2023 Oct; 8(5):e0033623. PubMed ID: 37615431
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Distribution-based clustering: using ecology to refine the operational taxonomic unit.
Preheim SP; Perrotta AR; Martin-Platero AM; Gupta A; Alm EJ
Appl Environ Microbiol; 2013 Nov; 79(21):6593-603. PubMed ID: 23974136
[TBL] [Abstract][Full Text] [Related]
9. Clustering 16S rRNA for OTU prediction: a method of unsupervised Bayesian clustering.
Hao X; Jiang R; Chen T
Bioinformatics; 2011 Mar; 27(5):611-8. PubMed ID: 21233169
[TBL] [Abstract][Full Text] [Related]
10. A comparison of methods for clustering 16S rRNA sequences into OTUs.
Chen W; Zhang CK; Cheng Y; Zhang S; Zhao H
PLoS One; 2013; 8(8):e70837. PubMed ID: 23967117
[TBL] [Abstract][Full Text] [Related]
11. CLUSTOM: a novel method for clustering 16S rRNA next generation sequences by overlap minimization.
Hwang K; Oh J; Kim TK; Kim BK; Yu DS; Hou BK; Caetano-Anollés G; Hong SG; Kim KM
PLoS One; 2013; 8(5):e62623. PubMed ID: 23650520
[TBL] [Abstract][Full Text] [Related]
12. Updating the 97% identity threshold for 16S ribosomal RNA OTUs.
Edgar RC
Bioinformatics; 2018 Jul; 34(14):2371-2375. PubMed ID: 29506021
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. A De Novo Robust Clustering Approach for Amplicon-Based Sequence Data.
Bazin A; Debroas D; Mephu Nguifo E
J Comput Biol; 2019 Jun; 26(6):618-624. PubMed ID: 30517025
[No Abstract] [Full Text] [Related]
16. bioOTU: An Improved Method for Simultaneous Taxonomic Assignments and Operational Taxonomic Units Clustering of 16s rRNA Gene Sequences.
Chen SY; Deng F; Huang Y; Jia X; Liu YP; Lai SJ
J Comput Biol; 2016 Apr; 23(4):229-38. PubMed ID: 26950196
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. ESPRIT-Tree: hierarchical clustering analysis of millions of 16S rRNA pyrosequences in quasilinear computational time.
Cai Y; Sun Y
Nucleic Acids Res; 2011 Aug; 39(14):e95. PubMed ID: 21596775
[TBL] [Abstract][Full Text] [Related]
20. Comparison of Methods for Picking the Operational Taxonomic Units From Amplicon Sequences.
Wei ZG; Zhang XD; Cao M; Liu F; Qian Y; Zhang SW
Front Microbiol; 2021; 12():644012. PubMed ID: 33841367
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]