BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 26930691)

  • 1. 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]  

  • 2. CLUSTOM-CLOUD: In-Memory Data Grid-Based Software for Clustering 16S rRNA Sequence Data in the Cloud Environment.
    Oh J; Choi CH; Park MK; Kim BK; Hwang K; Lee SH; Hong SG; Nasir A; Cho WS; Kim KM
    PLoS One; 2016; 11(3):e0151064. PubMed ID: 26954507
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A critical analysis of state-of-the-art metagenomics OTU clustering algorithms.
    Bhat AH; Prabhu P; Balakrishnan K
    J Biosci; 2019 Dec; 44(6):. PubMed ID: 31894129
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 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. 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]  

  • 13. 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]  

  • 14. From reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing data.
    Mysara M; Njima M; Leys N; Raes J; Monsieurs P
    Gigascience; 2017 Feb; 6(2):1-10. PubMed ID: 28369460
    [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. Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting.
    Nguyen TD; Schmidt B; Zheng Z; Kwoh CK
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1060-73. PubMed ID: 26451819
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing.
    Rasheed Z; Rangwala H; Barbará D
    BMC Syst Biol; 2013; 7 Suppl 4(Suppl 4):S11. PubMed ID: 24565031
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ranking the biases: The choice of OTUs vs. ASVs in 16S rRNA amplicon data analysis has stronger effects on diversity measures than rarefaction and OTU identity threshold.
    Chiarello M; McCauley M; Villéger S; Jackson CR
    PLoS One; 2022; 17(2):e0264443. PubMed ID: 35202411
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ironing out the wrinkles in the rare biosphere through improved OTU clustering.
    Huse SM; Welch DM; Morrison HG; Sogin ML
    Environ Microbiol; 2010 Jul; 12(7):1889-98. PubMed ID: 20236171
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.