BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

229 related articles for article (PubMed ID: 25646627)

  • 1. 16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets.
    Chaudhary N; Sharma AK; Agarwal P; Gupta A; Sharma VK
    PLoS One; 2015; 10(2):e0116106. PubMed ID: 25646627
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning models for bacteria taxonomic classification of metagenomic data.
    Fiannaca A; La Paglia L; La Rosa M; Lo Bosco G; Renda G; Rizzo R; Gaglio S; Urso A
    BMC Bioinformatics; 2018 Jul; 19(Suppl 7):198. PubMed ID: 30066629
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction & assessment of a unified curated reference database for improving the taxonomic classification of bacteria using 16S rRNA sequence data.
    Agnihotry S; Sarangi AN; Aggarwal R
    Indian J Med Res; 2020 Jan; 151(1):93-103. PubMed ID: 32134020
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate and fast estimation of taxonomic profiles from metagenomic shotgun sequences.
    Liu B; Gibbons T; Ghodsi M; Treangen T; Pop M
    BMC Genomics; 2011; 12 Suppl 2(Suppl 2):S4. PubMed ID: 21989143
    [TBL] [Abstract][Full Text] [Related]  

  • 5. VITCOMIC2: visualization tool for the phylogenetic composition of microbial communities based on 16S rRNA gene amplicons and metagenomic shotgun sequencing.
    Mori H; Maruyama T; Yano M; Yamada T; Kurokawa K
    BMC Syst Biol; 2018 Mar; 12(Suppl 2):30. PubMed ID: 29560821
    [TBL] [Abstract][Full Text] [Related]  

  • 6. C16S - a Hidden Markov Model based algorithm for taxonomic classification of 16S rRNA gene sequences.
    Ghosh TS; Gajjalla P; Mohammed MH; Mande SS
    Genomics; 2012 Apr; 99(4):195-201. PubMed ID: 22326741
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2.
    Lu J; Salzberg SL
    Microbiome; 2020 Aug; 8(1):124. PubMed ID: 32859275
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Taxonomic precision of different hypervariable regions of 16S rRNA gene and annotation methods for functional bacterial groups in biological wastewater treatment.
    Guo F; Ju F; Cai L; Zhang T
    PLoS One; 2013; 8(10):e76185. PubMed ID: 24146837
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.
    Barb JJ; Oler AJ; Kim HS; Chalmers N; Wallen GR; Cashion A; Munson PJ; Ames NJ
    PLoS One; 2016; 11(2):e0148047. PubMed ID: 26829716
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Strategy of selecting 16S rRNA hypervariable regions for metagenome-phylogenetic marker genes based analysis].
    Zhang JY; Zhu BC; Xu C; Ding X; Li JF; Zhang XG; Lu ZH
    Ying Yong Sheng Tai Xue Bao; 2015 Nov; 26(11):3545-53. PubMed ID: 26915214
    [TBL] [Abstract][Full Text] [Related]  

  • 12. WGSQuikr: fast whole-genome shotgun metagenomic classification.
    Koslicki D; Foucart S; Rosen G
    PLoS One; 2014; 9(3):e91784. PubMed ID: 24626336
    [TBL] [Abstract][Full Text] [Related]  

  • 13. METAXA2: improved identification and taxonomic classification of small and large subunit rRNA in metagenomic data.
    Bengtsson-Palme J; Hartmann M; Eriksson KM; Pal C; Thorell K; Larsson DG; Nilsson RH
    Mol Ecol Resour; 2015 Nov; 15(6):1403-14. PubMed ID: 25732605
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers.
    Liu Z; DeSantis TZ; Andersen GL; Knight R
    Nucleic Acids Res; 2008 Oct; 36(18):e120. PubMed ID: 18723574
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reconstruction of ribosomal RNA genes from metagenomic data.
    Fan L; McElroy K; Thomas T
    PLoS One; 2012; 7(6):e39948. PubMed ID: 22761935
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of PacBio sequencing for full-length bacterial 16S rRNA gene classification.
    Wagner J; Coupland P; Browne HP; Lawley TD; Francis SC; Parkhill J
    BMC Microbiol; 2016 Nov; 16(1):274. PubMed ID: 27842515
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Fast and accurate average genome size and 16S rRNA gene average copy number computation in metagenomic data.
    Pereira-Flores E; Glöckner FO; Fernandez-Guerra A
    BMC Bioinformatics; 2019 Sep; 20(1):453. PubMed ID: 31488068
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets.
    Gupta A; Malwe AS; Srivastava GN; Thoudam P; Hibare K; Sharma VK
    BMC Bioinformatics; 2022 Nov; 23(1):507. PubMed ID: 36443666
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.