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Journal Abstract Search
497 related items for PubMed ID: 30967110
1. Estimating the total genome length of a metagenomic sample using k-mers. Hua K, Zhang X. BMC Genomics; 2019 Apr 04; 20(Suppl 2):183. PubMed ID: 30967110 [Abstract] [Full Text] [Related]
4. MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage. Qian J, Comin M. BMC Bioinformatics; 2019 Nov 22; 20(Suppl 9):367. PubMed ID: 31757198 [Abstract] [Full Text] [Related]
5. Quality control of microbiota metagenomics by k-mer analysis. Plaza Onate F, Batto JM, Juste C, Fadlallah J, Fougeroux C, Gouas D, Pons N, Kennedy S, Levenez F, Dore J, Ehrlich SD, Gorochov G, Larsen M. BMC Genomics; 2015 Mar 14; 16(1):183. PubMed ID: 25887914 [Abstract] [Full Text] [Related]
6. Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes. Olson ND, Treangen TJ, Hill CM, Cepeda-Espinoza V, Ghurye J, Koren S, Pop M. Brief Bioinform; 2019 Jul 19; 20(4):1140-1150. PubMed ID: 28968737 [Abstract] [Full Text] [Related]
7. Fast Approximation of Frequent k-Mers and Applications to Metagenomics. Pellegrina L, Pizzi C, Vandin F. J Comput Biol; 2020 Apr 19; 27(4):534-549. PubMed ID: 31891535 [Abstract] [Full Text] [Related]
8. K2Mem: Discovering Discriminative K-mers From Sequencing Data for Metagenomic Reads Classification. Storato D, Comin M. IEEE/ACM Trans Comput Biol Bioinform; 2022 Apr 19; 19(1):220-229. PubMed ID: 34606462 [Abstract] [Full Text] [Related]
9. 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 30; 19(1):309. PubMed ID: 30165813 [Abstract] [Full Text] [Related]
10. CAIM: coverage-based analysis for identification of microbiome. Acheampong DA, Jenjaroenpun P, Wongsurawat T, Kurilung A, Pomyen Y, Kandel S, Kunadirek P, Chuaypen N, Kusonmano K, Nookaew I. Brief Bioinform; 2024 Jul 25; 25(5):. PubMed ID: 39222062 [Abstract] [Full Text] [Related]
11. Intestinal microbiota domination under extreme selective pressures characterized by metagenomic read cloud sequencing and assembly. Kang JB, Siranosian BA, Moss EL, Banaei N, Andermann TM, Bhatt AS. BMC Bioinformatics; 2019 Dec 02; 20(Suppl 16):585. PubMed ID: 31787070 [Abstract] [Full Text] [Related]
12. Generation and application of pseudo-long reads for metagenome assembly. Sim M, Lee J, Wy S, Park N, Lee D, Kwon D, Kim J. Gigascience; 2022 May 17; 11():. PubMed ID: 35579554 [Abstract] [Full Text] [Related]
13. 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 15; 34(6):928-935. PubMed ID: 29106455 [Abstract] [Full Text] [Related]
14. Strain-level metagenomic assignment and compositional estimation for long reads with MetaMaps. Dilthey AT, Jain C, Koren S, Phillippy AM. Nat Commun; 2019 Jul 11; 10(1):3066. PubMed ID: 31296857 [Abstract] [Full Text] [Related]
15. Microbial community analysis using high-throughput sequencing technology: a beginner's guide for microbiologists. Jo J, Oh J, Park C. J Microbiol; 2020 Mar 11; 58(3):176-192. PubMed ID: 32108314 [Abstract] [Full Text] [Related]
16. MetaCAA: A clustering-aided methodology for efficient assembly of metagenomic datasets. Reddy RM, Mohammed MH, Mande SS. Genomics; 2014 Mar 11; 103(2-3):161-8. PubMed ID: 24607570 [Abstract] [Full Text] [Related]
17. Libra: scalable k-mer-based tool for massive all-vs-all metagenome comparisons. Choi I, Ponsero AJ, Bomhoff M, Youens-Clark K, Hartman JH, Hurwitz BL. Gigascience; 2019 Feb 01; 8(2):. PubMed ID: 30597002 [Abstract] [Full Text] [Related]