BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 29659695)

  • 1. DeepSimulator: a deep simulator for Nanopore sequencing.
    Li Y; Han R; Bi C; Li M; Wang S; Gao X
    Bioinformatics; 2018 Sep; 34(17):2899-2908. PubMed ID: 29659695
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing.
    Li Y; Wang S; Bi C; Qiu Z; Li M; Gao X
    Bioinformatics; 2020 Apr; 36(8):2578-2580. PubMed ID: 31913436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data.
    Huang N; Xu M; Nie F; Ni P; Xiao CL; Luo F; Wang J
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36548365
    [TBL] [Abstract][Full Text] [Related]  

  • 4. GAVISUNK: genome assembly validation via inter-SUNK distances in Oxford Nanopore reads.
    Dishuck PC; Rozanski AN; Logsdon GA; Porubsky D; Eichler EE
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36321867
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Real-time mapping of nanopore raw signals.
    Zhang H; Li H; Jain C; Cheng H; Au KF; Li H; Aluru S
    Bioinformatics; 2021 Jul; 37(Suppl_1):i477-i483. PubMed ID: 34252938
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing.
    Han R; Wang S; Gao X
    Bioinformatics; 2020 Mar; 36(5):1333-1343. PubMed ID: 31593235
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A spectral algorithm for fast de novo layout of uncorrected long nanopore reads.
    Recanati A; Brüls T; d'Aspremont A
    Bioinformatics; 2017 Oct; 33(20):3188-3194. PubMed ID: 28605450
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PBSIM2: a simulator for long-read sequencers with a novel generative model of quality scores.
    Ono Y; Asai K; Hamada M
    Bioinformatics; 2021 May; 37(5):589-595. PubMed ID: 32976553
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PyPore: a python toolbox for nanopore sequencing data handling.
    Semeraro R; Magi A
    Bioinformatics; 2019 Nov; 35(21):4445-4447. PubMed ID: 30993318
    [TBL] [Abstract][Full Text] [Related]  

  • 10. NanoSim: nanopore sequence read simulator based on statistical characterization.
    Yang C; Chu J; Warren RL; Birol I
    Gigascience; 2017 Apr; 6(4):1-6. PubMed ID: 28327957
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of hybrid and non-hybrid methods for de novo assembly of nanopore reads.
    Sović I; Križanović K; Skala K; Šikić M
    Bioinformatics; 2016 Sep; 32(17):2582-9. PubMed ID: 27162186
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Are we there yet? Benchmarking low-coverage nanopore long-read sequencing for the assembling of mitochondrial genomes using the vulnerable silky shark Carcharhinus falciformis.
    Baeza JA; García-De León FJ
    BMC Genomics; 2022 Apr; 23(1):320. PubMed ID: 35459089
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Characterization and simulation of metagenomic nanopore sequencing data with Meta-NanoSim.
    Yang C; Lo T; Nip KM; Hafezqorani S; Warren RL; Birol I
    Gigascience; 2023 Mar; 12():. PubMed ID: 36939007
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Polishing the Oxford Nanopore long-read assemblies of bacterial pathogens with Illumina short reads to improve genomic analyses.
    Chen Z; Erickson DL; Meng J
    Genomics; 2021 May; 113(3):1366-1377. PubMed ID: 33716184
    [TBL] [Abstract][Full Text] [Related]  

  • 15. NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy.
    de Koning W; Miladi M; Hiltemann S; Heikema A; Hays JP; Flemming S; van den Beek M; Mustafa DA; Backofen R; Grüning B; Stubbs AP
    Gigascience; 2020 Oct; 9(10):. PubMed ID: 33068114
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Icarust, a real-time simulator for Oxford Nanopore adaptive sampling.
    Munro R; Wibowo S; Payne A; Loose M
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38478392
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data.
    Hafezqorani S; Yang C; Lo T; Nip KM; Warren RL; Birol I
    Gigascience; 2020 Jun; 9(6):. PubMed ID: 32520350
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DeepMP: a deep learning tool to detect DNA base modifications on Nanopore sequencing data.
    Bonet J; Chen M; Dabad M; Heath S; Gonzalez-Perez A; Lopez-Bigas N; Lagergren J
    Bioinformatics; 2022 Feb; 38(5):1235-1243. PubMed ID: 34718417
    [TBL] [Abstract][Full Text] [Related]  

  • 19. QAlign: aligning nanopore reads accurately using current-level modeling.
    Joshi D; Mao S; Kannan S; Diggavi S
    Bioinformatics; 2021 May; 37(5):625-633. PubMed ID: 33051648
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Systematic Comparison of the Performances of
    Wang J; Chen K; Ren Q; Zhang Y; Liu J; Wang G; Liu A; Li Y; Liu G; Luo J; Miao W; Xiong J; Yin H; Guan G
    Front Cell Infect Microbiol; 2021; 11():696669. PubMed ID: 34485177
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.