BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

269 related articles for article (PubMed ID: 34019290)

  • 21. CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-seq Analysis.
    Qiu X; Feit AS; Feiglin A; Xie Y; Kesten N; Taing L; Perkins J; Gu S; Li Y; Cejas P; Zhou N; Jeselsohn R; Brown M; Shirley Liu X; Long HW
    Genomics Proteomics Bioinformatics; 2021 Aug; 19(4):652-661. PubMed ID: 34284136
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identifying Direct Downstream Targets: WT1 ChIP-Seq Analysis.
    da Silva F; Massa F; Schedl A
    Methods Mol Biol; 2016; 1467():177-88. PubMed ID: 27417969
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Global analysis of transcription factor-binding sites in yeast using ChIP-Seq.
    Lefrançois P; Gallagher JE; Snyder M
    Methods Mol Biol; 2014; 1205():231-55. PubMed ID: 25213249
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A pipeline for the identification and characterization of chromatin modifications derived from ChIP-Seq datasets.
    Kaspi A; Ziemann M; Rafehi H; Lazarus R; El-Osta A
    Biochimie; 2012 Nov; 94(11):2353-9. PubMed ID: 22705386
    [TBL] [Abstract][Full Text] [Related]  

  • 25. XL-DNase-seq: improved footprinting of dynamic transcription factors.
    Oh KS; Ha J; Baek S; Sung MH
    Epigenetics Chromatin; 2019 Jun; 12(1):30. PubMed ID: 31164146
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Genome-wide analysis of c-MYC-regulated mRNAs and miRNAs, and c-MYC DNA binding by next-generation sequencing.
    Jackstadt R; Menssen A; Hermeking H
    Methods Mol Biol; 2013; 1012():145-85. PubMed ID: 24006064
    [TBL] [Abstract][Full Text] [Related]  

  • 27. CATCH-UP: A High-Throughput Upstream-Pipeline for Bulk ATAC-Seq and ChIP-Seq Data.
    Riva SG; Georgiades E; Gur ER; Baxter M; Hughes JR
    J Vis Exp; 2023 Sep; (199):. PubMed ID: 37811941
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Chromatin Immunoprecipitation Sequencing (ChIP-Seq) for Transcription Factors and Chromatin Factors in Arabidopsis thaliana Roots: From Material Collection to Data Analysis.
    Cortijo S; Charoensawan V; Roudier F; Wigge PA
    Methods Mol Biol; 2018; 1761():231-248. PubMed ID: 29525962
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Defining bacterial regulons using ChIP-seq.
    Myers KS; Park DM; Beauchene NA; Kiley PJ
    Methods; 2015 Sep; 86():80-8. PubMed ID: 26032817
    [TBL] [Abstract][Full Text] [Related]  

  • 30. ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles.
    Chen X; Jung JG; Shajahan-Haq AN; Clarke R; Shih IeM; Wang Y; Magnani L; Wang TL; Xuan J
    Nucleic Acids Res; 2016 Apr; 44(7):e65. PubMed ID: 26704972
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Analyzing ChIP-seq data: preprocessing, normalization, differential identification, and binding pattern characterization.
    Taslim C; Huang K; Huang T; Lin S
    Methods Mol Biol; 2012; 802():275-91. PubMed ID: 22130887
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Statistical Analysis and Quality Assessment of ChIP-seq Data with DROMPA.
    Nakato R; Shirahige K
    Methods Mol Biol; 2018; 1672():631-643. PubMed ID: 29043652
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparative study on ChIP-seq data: normalization and binding pattern characterization.
    Taslim C; Wu J; Yan P; Singer G; Parvin J; Huang T; Lin S; Huang K
    Bioinformatics; 2009 Sep; 25(18):2334-40. PubMed ID: 19561022
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Chromatin Immunoprecipitation Sequencing (ChIP-seq) for Detecting Histone Modifications and Modifiers.
    Hino S; Sato T; Nakao M
    Methods Mol Biol; 2023; 2577():55-64. PubMed ID: 36173565
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Processing and analyzing ChIP-seq data: from short reads to regulatory interactions.
    Leleu M; Lefebvre G; Rougemont J
    Brief Funct Genomics; 2010 Dec; 9(5-6):466-76. PubMed ID: 20861161
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes Using ATAC-seq.
    Marinov GK; Shipony Z
    Methods Mol Biol; 2021; 2243():183-226. PubMed ID: 33606259
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Design and analysis of ChIP-seq experiments for DNA-binding proteins.
    Kharchenko PV; Tolstorukov MY; Park PJ
    Nat Biotechnol; 2008 Dec; 26(12):1351-9. PubMed ID: 19029915
    [TBL] [Abstract][Full Text] [Related]  

  • 38. In Vivo ChIP-Seq of Nuclear Receptors: A Rough Guide to Transform Frozen Tissues into High-Confidence Genome-Wide Binding Profiles.
    Mir AA; Dyar KA; Greulich F; Quagliarini F; Jouffe C; Hubert MJ; Hemmer MC; Uhlenhaut NH
    Methods Mol Biol; 2019; 1966():39-70. PubMed ID: 31041738
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computational analysis of ChIP-seq data.
    Ji H
    Methods Mol Biol; 2010; 674():143-59. PubMed ID: 20827590
    [TBL] [Abstract][Full Text] [Related]  

  • 40. High-Resolution Mapping of Protein-DNA Interactions in Mouse Stem Cell-Derived Neurons using Chromatin Immunoprecipitation-Exonuclease (ChIP-Exo).
    Montanera KN; Rhee HS
    J Vis Exp; 2020 Aug; (162):. PubMed ID: 32865524
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.