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Journal Abstract Search

281 related items for PubMed ID: 30977806

  • 1. SolidBin: improving metagenome binning with semi-supervised normalized cut.
    Wang Z, Wang Z, Lu YY, Sun F, Zhu S.
    Bioinformatics; 2019 Nov 01; 35(21):4229-4238. PubMed ID: 30977806
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  • 2. 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 15; 33(6):791-798. PubMed ID: 27256312
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  • 3. 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 16; 25(1):241. PubMed ID: 39014300
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  • 4. 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 28; 18(Suppl 16):571. PubMed ID: 29297295
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  • 9. 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 20; 18(1):425. PubMed ID: 28931373
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  • 11. HiFine: integrating Hi-C-based and shotgun-based methods to refine binning of metagenomic contigs.
    Du Y, Sun F.
    Bioinformatics; 2022 May 26; 38(11):2973-2979. PubMed ID: 35482530
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  • 12. 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 26; 100():107734. PubMed ID: 35964419
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  • 13. SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing.
    Pan S, Zhao XM, Coelho LP.
    Bioinformatics; 2023 Jun 30; 39(39 Suppl 1):i21-i29. PubMed ID: 37387171
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  • 14. Binning Metagenomic Contigs Using Unsupervised Clustering and Reference Databases.
    Jiang Z, Li X, Guo L.
    Interdiscip Sci; 2022 Dec 30; 14(4):795-803. PubMed ID: 35639335
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  • 15. CoCoNet: an efficient deep learning tool for viral metagenome binning.
    Arisdakessian CG, Nigro OD, Steward GF, Poisson G, Belcaid M.
    Bioinformatics; 2021 Sep 29; 37(18):2803-2810. PubMed ID: 33822891
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  • 19. Metagenomic binning with assembly graph embeddings.
    Lamurias A, Sereika M, Albertsen M, Hose K, Nielsen TD.
    Bioinformatics; 2022 Sep 30; 38(19):4481-4487. PubMed ID: 35972375
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