229 related articles for article (PubMed ID: 35639335)
1. Binning Metagenomic Contigs Using Unsupervised Clustering and Reference Databases.
Jiang Z; Li X; Guo L
Interdiscip Sci; 2022 Dec; 14(4):795-803. PubMed ID: 35639335
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Unsupervised Binning of Metagenomic Assembled Contigs Using Improved Fuzzy C-Means Method.
Liu Y; Hou T; Kang B; Liu F
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(6):1459-1467. PubMed ID: 27295684
[TBL] [Abstract][Full Text] [Related]
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; 18(Suppl 16):571. PubMed ID: 29297295
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. MetaCRS: unsupervised clustering of contigs with the recursive strategy of reducing metagenomic dataset's complexity.
Jiang Z; Li X; Guo L
BMC Bioinformatics; 2022 Jan; 22(Suppl 12):315. PubMed ID: 35045830
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. A robust and accurate binning algorithm for metagenomic sequences with arbitrary species abundance ratio.
Leung HC; Yiu SM; Yang B; Peng Y; Wang Y; Liu Z; Chen J; Qin J; Li R; Chin FY
Bioinformatics; 2011 Jun; 27(11):1489-95. PubMed ID: 21493653
[TBL] [Abstract][Full Text] [Related]
12. A New Unsupervised Binning Approach for Metagenomic Sequences Based on N-grams and Automatic Feature Weighting.
Liao R; Zhang R; Guan J; Zhou S
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(1):42-54. PubMed ID: 26355506
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Accurate binning of metagenomic contigs via automated clustering sequences using information of genomic signatures and marker genes.
Lin HH; Liao YC
Sci Rep; 2016 Apr; 6():24175. PubMed ID: 27067514
[TBL] [Abstract][Full Text] [Related]
15. MetaConClust - Unsupervised Binning of Metagenomics Data using Consensus Clustering.
Sinha D; Sharma A; Mishra DC; Rai A; Lal SB; Kumar S; Farooqi MS; Chaturvedi KK
Curr Genomics; 2022 Jun; 23(2):137-146. PubMed ID: 36778980
[No Abstract] [Full Text] [Related]
16. 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]
17. A novel abundance-based algorithm for binning metagenomic sequences using l-tuples.
Wu YW; Ye Y
J Comput Biol; 2011 Mar; 18(3):523-34. PubMed ID: 21385052
[TBL] [Abstract][Full Text] [Related]
18. Effective binning of metagenomic contigs using contrastive multi-view representation learning.
Wang Z; You R; Han H; Liu W; Sun F; Zhu S
Nat Commun; 2024 Jan; 15(1):585. PubMed ID: 38233391
[TBL] [Abstract][Full Text] [Related]
19. Binning metagenomic contigs by coverage and composition.
Alneberg J; Bjarnason BS; de Bruijn I; Schirmer M; Quick J; Ijaz UZ; Lahti L; Loman NJ; Andersson AF; Quince C
Nat Methods; 2014 Nov; 11(11):1144-6. PubMed ID: 25218180
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
