BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

212 related articles for article (PubMed ID: 33632132)

  • 1. geneRFinder: gene finding in distinct metagenomic data complexities.
    Silva R; Padovani K; Góes F; Alves R
    BMC Bioinformatics; 2021 Feb; 22(1):87. PubMed ID: 33632132
    [TBL] [Abstract][Full Text] [Related]  

  • 2. From Gene Annotation to Function Prediction for Metagenomics.
    Sharifi F; Ye Y
    Methods Mol Biol; 2017; 1611():27-34. PubMed ID: 28451969
    [TBL] [Abstract][Full Text] [Related]  

  • 3. COGNIZER: A Framework for Functional Annotation of Metagenomic Datasets.
    Bose T; Haque MM; Reddy C; Mande SS
    PLoS One; 2015; 10(11):e0142102. PubMed ID: 26561344
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Massive metagenomic data analysis using abundance-based machine learning.
    Harris ZN; Dhungel E; Mosior M; Ahn TH
    Biol Direct; 2019 Aug; 14(1):12. PubMed ID: 31370905
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 20(4):1140-1150. PubMed ID: 28968737
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MetaEuk-sensitive, high-throughput gene discovery, and annotation for large-scale eukaryotic metagenomics.
    Levy Karin E; Mirdita M; Söding J
    Microbiome; 2020 Apr; 8(1):48. PubMed ID: 32245390
    [TBL] [Abstract][Full Text] [Related]  

  • 7. FragGeneScan: predicting genes in short and error-prone reads.
    Rho M; Tang H; Ye Y
    Nucleic Acids Res; 2010 Nov; 38(20):e191. PubMed ID: 20805240
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fast and accurate average genome size and 16S rRNA gene average copy number computation in metagenomic data.
    Pereira-Flores E; Glöckner FO; Fernandez-Guerra A
    BMC Bioinformatics; 2019 Sep; 20(1):453. PubMed ID: 31488068
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Tamock: simulation of habitat-specific benchmark data in metagenomics.
    Gerner SM; Graf AB; Rattei T
    BMC Bioinformatics; 2021 May; 22(1):227. PubMed ID: 33932979
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Metagenomic analysis through the extended Burrows-Wheeler transform.
    Guerrini V; Louza FA; Rosone G
    BMC Bioinformatics; 2020 Sep; 21(Suppl 8):299. PubMed ID: 32938362
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CAMISIM: simulating metagenomes and microbial communities.
    Fritz A; Hofmann P; Majda S; Dahms E; Dröge J; Fiedler J; Lesker TR; Belmann P; DeMaere MZ; Darling AE; Sczyrba A; Bremges A; McHardy AC
    Microbiome; 2019 Feb; 7(1):17. PubMed ID: 30736849
    [TBL] [Abstract][Full Text] [Related]  

  • 13. TAMA: improved metagenomic sequence classification through meta-analysis.
    Sim M; Lee J; Lee D; Kwon D; Kim J
    BMC Bioinformatics; 2020 May; 21(1):185. PubMed ID: 32397982
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics.
    Weissman JL; Peras M; Barnum TP; Fuhrman JA
    mSystems; 2022 Oct; 7(5):e0074522. PubMed ID: 36190138
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Short-read reading-frame predictors are not created equal: sequence error causes loss of signal.
    Trimble WL; Keegan KP; D'Souza M; Wilke A; Wilkening J; Gilbert J; Meyer F
    BMC Bioinformatics; 2012 Jul; 13():183. PubMed ID: 22839106
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Metagenomics: Probing pollutant fate in natural and engineered ecosystems.
    Bouhajja E; Agathos SN; George IF
    Biotechnol Adv; 2016 Dec; 34(8):1413-1426. PubMed ID: 27825829
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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; 16(1):183. PubMed ID: 25887914
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data.
    Chen JC; Tyler AD
    Biol Direct; 2020 Dec; 15(1):29. PubMed ID: 33302990
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant Genes.
    Jonsson V; Österlund T; Nerman O; Kristiansson E
    J Comput Biol; 2017 Apr; 24(4):311-326. PubMed ID: 27892712
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction and analysis of metagenomic operons via MetaRon: a pipeline for prediction of Metagenome and whole-genome opeRons.
    Zaidi SSA; Kayani MUR; Zhang X; Ouyang Y; Shamsi IH
    BMC Genomics; 2021 Jan; 22(1):60. PubMed ID: 33468056
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.