BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 30030800)

  • 1. MetaVW: Large-Scale Machine Learning for Metagenomics Sequence Classification.
    Vervier K; Mahé P; Vert JP
    Methods Mol Biol; 2018; 1807():9-20. PubMed ID: 30030800
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Large-scale machine learning for metagenomics sequence classification.
    Vervier K; Mahé P; Tournoud M; Veyrieras JB; Vert JP
    Bioinformatics; 2016 Apr; 32(7):1023-32. PubMed ID: 26589281
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations.
    Lee AY; Lee CS; Van Gelder RN
    BMC Bioinformatics; 2016 Jul; 17():292. PubMed ID: 27465705
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets.
    Yue Y; Huang H; Qi Z; Dou HM; Liu XY; Han TF; Chen Y; Song XJ; Zhang YH; Tu J
    BMC Bioinformatics; 2020 Jul; 21(1):334. PubMed ID: 32723290
    [TBL] [Abstract][Full Text] [Related]  

  • 5. COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.
    Lu YY; Chen T; Fuhrman JA; Sun F
    Bioinformatics; 2017 Mar; 33(6):791-798. PubMed ID: 27256312
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Unsupervised binning of environmental genomic fragments based on an error robust selection of l-mers.
    Yang B; Peng Y; Leung HC; Yiu SM; Chen JC; Chin FY
    BMC Bioinformatics; 2010 Apr; 11 Suppl 2(Suppl 2):S5. PubMed ID: 20406503
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MBMC: An Effective Markov Chain Approach for Binning Metagenomic Reads from Environmental Shotgun Sequencing Projects.
    Wang Y; Hu H; Li X
    OMICS; 2016 Aug; 20(8):470-9. PubMed ID: 27447888
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MEGAN-LR: new algorithms allow accurate binning and easy interactive exploration of metagenomic long reads and contigs.
    Huson DH; Albrecht B; Bağcı C; Bessarab I; Górska A; Jolic D; Williams RBH
    Biol Direct; 2018 Apr; 13(1):6. PubMed ID: 29678199
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MetaBCC-LR: metagenomics binning by coverage and composition for long reads.
    Wickramarachchi A; Mallawaarachchi V; Rajan V; Lin Y
    Bioinformatics; 2020 Jul; 36(Suppl_1):i3-i11. PubMed ID: 32657364
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes.
    Gkanogiannis A; Gazut S; Salanoubat M; Kanj S; Brüls T
    BMC Bioinformatics; 2016 Aug; 17(1):311. PubMed ID: 27542753
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels.
    Randhawa GS; Hill KA; Kari L
    BMC Genomics; 2019 Apr; 20(1):267. PubMed ID: 30943897
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function.
    Keegan KP; Glass EM; Meyer F
    Methods Mol Biol; 2016; 1399():207-33. PubMed ID: 26791506
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Selection of marker genes for genetic barcoding of microorganisms and binning of metagenomic reads by Barcoder software tools.
    Rotimi AM; Pierneef R; Reva ON
    BMC Bioinformatics; 2018 Aug; 19(1):309. PubMed ID: 30165813
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ViraPipe: scalable parallel pipeline for viral metagenome analysis from next generation sequencing reads.
    Maarala AI; Bzhalava Z; Dillner J; Heljanko K; Bzhalava D
    Bioinformatics; 2018 Mar; 34(6):928-935. PubMed ID: 29106455
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DACE: a scalable DP-means algorithm for clustering extremely large sequence data.
    Jiang L; Dong Y; Chen N; Chen T
    Bioinformatics; 2017 Mar; 33(6):834-842. PubMed ID: 28025198
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MetaProb: accurate metagenomic reads binning based on probabilistic sequence signatures.
    Girotto S; Pizzi C; Comin M
    Bioinformatics; 2016 Sep; 32(17):i567-i575. PubMed ID: 27587676
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Binpairs: utilization of Illumina paired-end information for improving efficiency of taxonomic binning of metagenomic sequences.
    Dutta A; Tandon D; Mohammed MH; Bose T; Mande SS
    PLoS One; 2014; 9(12):e114814. PubMed ID: 25551450
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Large scale microbiome profiling in the cloud.
    Valdes C; Stebliankin V; Narasimhan G
    Bioinformatics; 2019 Jul; 35(14):i13-i22. PubMed ID: 31510682
    [TBL] [Abstract][Full Text] [Related]  

  • 20. LVQ-KNN: Composition-based DNA/RNA binning of short nucleotide sequences utilizing a prototype-based k-nearest neighbor approach.
    Belka A; Fischer M; Pohlmann A; Beer M; Höper D
    Virus Res; 2018 Oct; 258():55-63. PubMed ID: 30291874
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.