BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 23650520)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 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. Defining reference sequences for Nocardia species by similarity and clustering analyses of 16S rRNA gene sequence data.
    Helal M; Kong F; Chen SC; Bain M; Christen R; Sintchenko V
    PLoS One; 2011; 6(6):e19517. PubMed ID: 21687706
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Amplicon Sequence Variants Artificially Split Bacterial Genomes into Separate Clusters.
    Schloss PD
    mSphere; 2021 Aug; 6(4):e0019121. PubMed ID: 34287003
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis.
    Whelan FJ; Surette MG
    Microbiome; 2017 Aug; 5(1):100. PubMed ID: 28807046
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.
    Cai Y; Zheng W; Yao J; Yang Y; Mai V; Mao Q; Sun Y
    PLoS Comput Biol; 2017 Apr; 13(4):e1005518. PubMed ID: 28437450
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improved taxonomic assignment of human intestinal 16S rRNA sequences by a dedicated reference database.
    Ritari J; Salojärvi J; Lahti L; de Vos WM
    BMC Genomics; 2015 Dec; 16():1056. PubMed ID: 26651617
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The All-Species Living Tree project: a 16S rRNA-based phylogenetic tree of all sequenced type strains.
    Yarza P; Richter M; Peplies J; Euzeby J; Amann R; Schleifer KH; Ludwig W; Glöckner FO; Rosselló-Móra R
    Syst Appl Microbiol; 2008 Sep; 31(4):241-50. PubMed ID: 18692976
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. TBC: a clustering algorithm based on prokaryotic taxonomy.
    Lee JH; Yi H; Jeon YS; Won S; Chun J
    J Microbiol; 2012 Apr; 50(2):181-5. PubMed ID: 22538644
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. To compare the performance of prokaryotic taxonomy classifiers using curated 16S full-length rRNA sequences.
    Hung YM; Lyu WN; Tsai ML; Liu CL; Lai LC; Tsai MH; Chuang EY
    Comput Biol Med; 2022 Jun; 145():105416. PubMed ID: 35313206
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Bayesian taxonomic classification method for 16S rRNA gene sequences with improved species-level accuracy.
    Gao X; Lin H; Revanna K; Dong Q
    BMC Bioinformatics; 2017 May; 18(1):247. PubMed ID: 28486927
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SCRAPT: an iterative algorithm for clustering large 16S rRNA gene data sets.
    Luan T; Muralidharan HS; Alshehri M; Mittra I; Pop M
    Nucleic Acids Res; 2023 May; 51(8):e46. PubMed ID: 36912074
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing clustering and pre-processing in taxonomy analysis.
    Bonder MJ; Abeln S; Zaura E; Brandt BW
    Bioinformatics; 2012 Nov; 28(22):2891-7. PubMed ID: 22962346
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.