These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

496 related articles for article (PubMed ID: 26905627)

  • 1. Correlation detection strategies in microbial data sets vary widely in sensitivity and precision.
    Weiss S; Van Treuren W; Lozupone C; Faust K; Friedman J; Deng Y; Xia LC; Xu ZZ; Ursell L; Alm EJ; Birmingham A; Cram JA; Fuhrman JA; Raes J; Sun F; Zhou J; Knight R
    ISME J; 2016 Jul; 10(7):1669-81. PubMed ID: 26905627
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies.
    Thorsen J; Brejnrod A; Mortensen M; Rasmussen MA; Stokholm J; Al-Soud WA; Sørensen S; Bisgaard H; Waage J
    Microbiome; 2016 Nov; 4(1):62. PubMed ID: 27884206
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rapid Inference of Direct Interactions in Large-Scale Ecological Networks from Heterogeneous Microbial Sequencing Data.
    Tackmann J; Matias Rodrigues JF; von Mering C
    Cell Syst; 2019 Sep; 9(3):286-296.e8. PubMed ID: 31542415
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MixMC: A Multivariate Statistical Framework to Gain Insight into Microbial Communities.
    Lê Cao KA; Costello ME; Lakis VA; Bartolo F; Chua XY; Brazeilles R; Rondeau P
    PLoS One; 2016; 11(8):e0160169. PubMed ID: 27513472
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Universal gut microbial relationships in the gut microbiome of wild baboons.
    Roche KE; Bjork JR; Dasari MR; Grieneisen L; Jansen D; Gould TJ; Gesquiere LR; Barreiro LB; Alberts SC; Blekhman R; Gilbert JA; Tung J; Mukherjee S; Archie EA
    Elife; 2023 May; 12():. PubMed ID: 37158607
    [TBL] [Abstract][Full Text] [Related]  

  • 6. pime: A package for discovery of novel differences among microbial communities.
    Roesch LFW; Dobbler PT; Pylro VS; Kolaczkowski B; Drew JC; Triplett EW
    Mol Ecol Resour; 2020 Mar; 20(2):415-428. PubMed ID: 31698527
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Compositional data analysis of the microbiome: fundamentals, tools, and challenges.
    Tsilimigras MC; Fodor AA
    Ann Epidemiol; 2016 May; 26(5):330-5. PubMed ID: 27255738
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sparse and compositionally robust inference of microbial ecological networks.
    Kurtz ZD; Müller CL; Miraldi ER; Littman DR; Blaser MJ; Bonneau RA
    PLoS Comput Biol; 2015 May; 11(5):e1004226. PubMed ID: 25950956
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A powerful microbiome-based association test and a microbial taxa discovery framework for comprehensive association mapping.
    Koh H; Blaser MJ; Li H
    Microbiome; 2017 Apr; 5(1):45. PubMed ID: 28438217
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rarefaction is currently the best approach to control for uneven sequencing effort in amplicon sequence analyses.
    Schloss PD
    mSphere; 2024 Feb; 9(2):e0035423. PubMed ID: 38251877
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Freshwater monitoring by nanopore sequencing.
    Urban L; Holzer A; Baronas JJ; Hall MB; Braeuninger-Weimer P; Scherm MJ; Kunz DJ; Perera SN; Martin-Herranz DE; Tipper ET; Salter SJ; Stammnitz MR
    Elife; 2021 Jan; 10():. PubMed ID: 33461660
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Benchmarking a targeted 16S ribosomal RNA gene enrichment approach to reconstruct ancient microbial communities.
    Eisenhofer R; Wright S; Weyrich L
    PeerJ; 2024; 12():e16770. PubMed ID: 38440408
    [TBL] [Abstract][Full Text] [Related]  

  • 13.
    Thiergart T; Zgadzaj R; Bozsóki Z; Garrido-Oter R; Radutoiu S; Schulze-Lefert P
    mBio; 2019 Oct; 10(5):. PubMed ID: 31594815
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Smart capsule for targeted proximal colon microbiome sampling.
    Nejati S; Wang J; Sedaghat S; Balog NK; Long AM; Rivera UH; Kasi V; Park K; Johnson JS; Verma MS; Rahimi R
    Acta Biomater; 2022 Dec; 154():83-96. PubMed ID: 36162763
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A statistical model for describing and simulating microbial community profiles.
    Ma S; Ren B; Mallick H; Moon YS; Schwager E; Maharjan S; Tickle TL; Lu Y; Carmody RN; Franzosa EA; Janson L; Huttenhower C
    PLoS Comput Biol; 2021 Sep; 17(9):e1008913. PubMed ID: 34516542
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MCaVoH: A toolkit for mining, classification and visualization of human microbiota.
    Nisar M; Noureen N; Fazal S; Qadir MA
    J Microbiol Methods; 2015 Oct; 117():28-35. PubMed ID: 26193336
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel method to determine the minimum number of sequences required for reliable microbial community analysis.
    Ni J; Li X; He Z; Xu M
    J Microbiol Methods; 2017 Aug; 139():196-201. PubMed ID: 28602755
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments.
    Almeida A; Mitchell AL; Tarkowska A; Finn RD
    Gigascience; 2018 May; 7(5):. PubMed ID: 29762668
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Processing a 16S rRNA Sequencing Dataset with the Microbiome Helper Workflow.
    Douglas GM; Comeau AM; Langille MGI
    Methods Mol Biol; 2018; 1849():131-141. PubMed ID: 30298252
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases.
    Lloréns-Rico V; Vieira-Silva S; Gonçalves PJ; Falony G; Raes J
    Nat Commun; 2021 Jun; 12(1):3562. PubMed ID: 34117246
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.