BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

233 related articles for article (PubMed ID: 32058299)

  • 21. Species classifier choice is a key consideration when analysing low-complexity food microbiome data.
    Walsh AM; Crispie F; O'Sullivan O; Finnegan L; Claesson MJ; Cotter PD
    Microbiome; 2018 Mar; 6(1):50. PubMed ID: 29554948
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Phylogeny-based classification of microbial communities.
    Tanaseichuk O; Borneman J; Jiang T
    Bioinformatics; 2014 Feb; 30(4):449-56. PubMed ID: 24369151
    [TBL] [Abstract][Full Text] [Related]  

  • 23. High throughput sequencing methods for microbiome profiling: application to food animal systems.
    Highlander SK
    Anim Health Res Rev; 2012 Jun; 13(1):40-53. PubMed ID: 22853944
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Shallow shotgun sequencing of the microbiome recapitulates 16S amplicon results and provides functional insights.
    Stothart MR; McLoughlin PD; Poissant J
    Mol Ecol Resour; 2023 Apr; 23(3):549-564. PubMed ID: 36112078
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A bioinformatics pipeline integrating predictive metagenomics profiling for the analysis of 16S rDNA/rRNA sequencing data originated from foods.
    Mataragas M; Alessandria V; Ferrocino I; Rantsiou K; Cocolin L
    Food Microbiol; 2018 Dec; 76():279-286. PubMed ID: 30166151
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Functional dynamics of bacterial species in the mouse gut microbiome revealed by metagenomic and metatranscriptomic analyses.
    Chung YW; Gwak HJ; Moon S; Rho M; Ryu JH
    PLoS One; 2020; 15(1):e0227886. PubMed ID: 31978162
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.
    Brooks JP; Edwards DJ; Harwich MD; Rivera MC; Fettweis JM; Serrano MG; Reris RA; Sheth NU; Huang B; Girerd P; ; Strauss JF; Jefferson KK; Buck GA
    BMC Microbiol; 2015 Mar; 15():66. PubMed ID: 25880246
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling.
    D'Amore R; Ijaz UZ; Schirmer M; Kenny JG; Gregory R; Darby AC; Shakya M; Podar M; Quince C; Hall N
    BMC Genomics; 2016 Jan; 17():55. PubMed ID: 26763898
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Metagenomic profiling pipelines improve taxonomic classification for 16S amplicon sequencing data.
    Odom AR; Faits T; Castro-Nallar E; Crandall KA; Johnson WE
    Sci Rep; 2023 Aug; 13(1):13957. PubMed ID: 37633998
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Metagenomic profiling of the microbial freshwater communities in two Bulgarian reservoirs.
    Iliev I; Yahubyan G; Marhova M; Apostolova E; Gozmanova M; Gecheva G; Kostadinova S; Ivanova A; Baev V
    J Basic Microbiol; 2017 Aug; 57(8):669-679. PubMed ID: 28543439
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing.
    Ranjan R; Rani A; Metwally A; McGee HS; Perkins DL
    Biochem Biophys Res Commun; 2016 Jan; 469(4):967-77. PubMed ID: 26718401
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. A comparison of sequencing platforms and bioinformatics pipelines for compositional analysis of the gut microbiome.
    Allali I; Arnold JW; Roach J; Cadenas MB; Butz N; Hassan HM; Koci M; Ballou A; Mendoza M; Ali R; Azcarate-Peril MA
    BMC Microbiol; 2017 Sep; 17(1):194. PubMed ID: 28903732
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Intrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplification.
    Ziesemer KA; Mann AE; Sankaranarayanan K; Schroeder H; Ozga AT; Brandt BW; Zaura E; Waters-Rist A; Hoogland M; Salazar-GarcĂ­a DC; Aldenderfer M; Speller C; Hendy J; Weston DA; MacDonald SJ; Thomas GH; Collins MJ; Lewis CM; Hofman C; Warinner C
    Sci Rep; 2015 Nov; 5():16498. PubMed ID: 26563586
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys.
    Xie C; Goi CL; Huson DH; Little PF; Williams RB
    BMC Bioinformatics; 2016 Dec; 17(Suppl 19):508. PubMed ID: 28155666
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data.
    Chen JC; Tyler AD
    Biol Direct; 2020 Dec; 15(1):29. PubMed ID: 33302990
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 12.