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 *

475 related articles for article (PubMed ID: 32167528)

  • 1. GraphBin: refined binning of metagenomic contigs using assembly graphs.
    Mallawaarachchi V; Wickramarachchi A; Lin Y
    Bioinformatics; 2020 Jun; 36(11):3307-3313. PubMed ID: 32167528
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving metagenomic binning results with overlapped bins using assembly graphs.
    Mallawaarachchi VG; Wickramarachchi AS; Lin Y
    Algorithms Mol Biol; 2021 May; 16(1):3. PubMed ID: 33947431
    [TBL] [Abstract][Full Text] [Related]  

  • 3. METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs.
    Zhang Z; Zhang L
    BMC Bioinformatics; 2021 Jul; 22(Suppl 10):378. PubMed ID: 34294039
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate Binning of Metagenomic Contigs Using Composition, Coverage, and Assembly Graphs.
    Mallawaarachchi V; Lin Y
    J Comput Biol; 2022 Dec; 29(12):1357-1376. PubMed ID: 36367700
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CH-Bin: A convex hull based approach for binning metagenomic contigs.
    Chandrasiri S; Perera T; Dilhara A; Perera I; Mallawaarachchi V
    Comput Biol Chem; 2022 Oct; 100():107734. PubMed ID: 35964419
    [TBL] [Abstract][Full Text] [Related]  

  • 6. AFITbin: a metagenomic contig binning method using aggregate l-mer frequency based on initial and terminal nucleotides.
    Darabi A; Sobhani S; Aghdam R; Eslahchi C
    BMC Bioinformatics; 2024 Jul; 25(1):241. PubMed ID: 39014300
    [TBL] [Abstract][Full Text] [Related]  

  • 7. HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs.
    Du Y; Sun F
    Bioinformatics; 2022 May; 38(11):2973-2979. PubMed ID: 35482530
    [TBL] [Abstract][Full Text] [Related]  

  • 8. BMC3C: binning metagenomic contigs using codon usage, sequence composition and read coverage.
    Yu G; Jiang Y; Wang J; Zhang H; Luo H
    Bioinformatics; 2018 Dec; 34(24):4172-4179. PubMed ID: 29947757
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MetaCluster-TA: taxonomic annotation for metagenomic data based on assembly-assisted binning.
    Wang Y; Leung H; Yiu S; Chin F
    BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S12. PubMed ID: 24564377
    [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. CoCoNet: an efficient deep learning tool for viral metagenome binning.
    Arisdakessian CG; Nigro OD; Steward GF; Poisson G; Belcaid M
    Bioinformatics; 2021 Sep; 37(18):2803-2810. PubMed ID: 33822891
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SolidBin: improving metagenome binning with semi-supervised normalized cut.
    Wang Z; Wang Z; Lu YY; Sun F; Zhu S
    Bioinformatics; 2019 Nov; 35(21):4229-4238. PubMed ID: 30977806
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision.
    Herath D; Tang SL; Tandon K; Ackland D; Halgamuge SK
    BMC Bioinformatics; 2017 Dec; 18(Suppl 16):571. PubMed ID: 29297295
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving contig binning of metagenomic data using [Formula: see text] oligonucleotide frequency dissimilarity.
    Wang Y; Wang K; Lu YY; Sun F
    BMC Bioinformatics; 2017 Sep; 18(1):425. PubMed ID: 28931373
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Binnacle: Using Scaffolds to Improve the Contiguity and Quality of Metagenomic Bins.
    Muralidharan HS; Shah N; Meisel JS; Pop M
    Front Microbiol; 2021; 12():638561. PubMed ID: 33717033
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Metagenomic binning with assembly graph embeddings.
    Lamurias A; Sereika M; Albertsen M; Hose K; Nielsen TD
    Bioinformatics; 2022 Sep; 38(19):4481-4487. PubMed ID: 35972375
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage.
    Qian J; Comin M
    BMC Bioinformatics; 2019 Nov; 20(Suppl 9):367. PubMed ID: 31757198
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of short read metagenomic assembly.
    Charuvaka A; Rangwala H
    BMC Genomics; 2011; 12 Suppl 2(Suppl 2):S8. PubMed ID: 21989307
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs.
    Li D; Huang Y; Leung CM; Luo R; Ting HF; Lam TW
    BMC Bioinformatics; 2017 Oct; 18(Suppl 12):408. PubMed ID: 29072142
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.