BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

404 related articles for article (PubMed ID: 30994904)

  • 1. DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning.
    Ni P; Huang N; Zhang Z; Wang DP; Liang F; Miao Y; Xiao CL; Luo F; Wang J
    Bioinformatics; 2019 Nov; 35(22):4586-4595. PubMed ID: 30994904
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning.
    Ni P; Huang N; Nie F; Zhang J; Zhang Z; Wu B; Bai L; Liu W; Xiao CL; Luo F; Wang J
    Nat Commun; 2021 Oct; 12(1):5976. PubMed ID: 34645826
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Analysis of the long-read sequencing data using computational tools confirms the presence of 5-methylcytosine in the
    Pai SS; Ranjan S; Mathew AR; Anindya R; Meur G
    Access Microbiol; 2022 Aug; 4(6):acmi000363. PubMed ID: 36004362
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation.
    Liu Y; Rosikiewicz W; Pan Z; Jillette N; Wang P; Taghbalout A; Foox J; Mason C; Carroll M; Cheng A; Li S
    Genome Biol; 2021 Oct; 22(1):295. PubMed ID: 34663425
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A signal processing and deep learning framework for methylation detection using Oxford Nanopore sequencing.
    Ahsan MU; Gouru A; Chan J; Zhou W; Wang K
    Nat Commun; 2024 Feb; 15(1):1448. PubMed ID: 38365920
    [TBL] [Abstract][Full Text] [Related]  

  • 9. NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection.
    Yin C; Wang R; Qiao J; Shi H; Duan H; Jiang X; Teng S; Wei L
    Bioinformatics; 2024 Feb; 40(2):. PubMed ID: 38305428
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Whole human genome 5'-mC methylation analysis using long read nanopore sequencing.
    Silva C; Machado M; Ferrão J; Sebastião Rodrigues A; Vieira L
    Epigenetics; 2022 Dec; 17(13):1961-1975. PubMed ID: 35856633
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comprehensive evaluation of alignment software for reduced representation bisulfite sequencing data.
    Sun X; Han Y; Zhou L; Chen E; Lu B; Liu Y; Pan X; Cowley AW; Liang M; Wu Q; Lu Y; Liu P
    Bioinformatics; 2018 Aug; 34(16):2715-2723. PubMed ID: 29579198
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effective training of nanopore callers for epigenetic marks with limited labelled data.
    Yao B; Hsu C; Goldner G; Michaeli Y; Ebenstein Y; Listgarten J
    Open Biol; 2024 Jun; 14(6):230449. PubMed ID: 38862018
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing.
    Ni P; Nie F; Zhong Z; Xu J; Huang N; Zhang J; Zhao H; Zou Y; Huang Y; Li J; Xiao CL; Luo F; Wang J
    Nat Commun; 2023 Jul; 14(1):4054. PubMed ID: 37422489
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DNAscent v2: detecting replication forks in nanopore sequencing data with deep learning.
    Boemo MA
    BMC Genomics; 2021 Jun; 22(1):430. PubMed ID: 34107894
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nanopore Sequencing and Data Analysis for Base-Resolution Genome-Wide 5-Methylcytosine Profiling.
    Angeloni A; Ferguson J; Bogdanovic O
    Methods Mol Biol; 2022; 2458():75-94. PubMed ID: 35103963
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads.
    Li J; Wei L; Zhang X; Zhang W; Wang H; Zhong B; Xie Z; Lv H; Wang X
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34245239
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genome skimming with nanopore sequencing precisely determines global and transposon DNA methylation in vertebrates.
    Faulk C
    Genome Res; 2023 Jun; 33(6):948-956. PubMed ID: 37442577
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm.
    Wang L; Qu L; Yang L; Wang Y; Zhu H
    Front Genet; 2020; 11():900. PubMed ID: 32903372
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing.
    Yuen ZW; Srivastava A; Daniel R; McNevin D; Jack C; Eyras E
    Nat Commun; 2021 Jun; 12(1):3438. PubMed ID: 34103501
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Megabase-scale methylation phasing using nanopore long reads and NanoMethPhase.
    Akbari V; Garant JM; O'Neill K; Pandoh P; Moore R; Marra MA; Hirst M; Jones SJM
    Genome Biol; 2021 Feb; 22(1):68. PubMed ID: 33618748
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.