These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 34251618)

  • 1. Genomic Footprinting Analyses from DNase-seq Data to Construct Gene Regulatory Networks.
    Moyano TC; Gutiérrez RA; Alvarez JM
    Methods Mol Biol; 2021; 2328():25-46. PubMed ID: 34251618
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
    Kähärä J; Lähdesmäki H
    Bioinformatics; 2015 Sep; 31(17):2852-9. PubMed ID: 25957350
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genome-wide mapping of DNase I hypersensitive sites in plants.
    Zhang W; Jiang J
    Methods Mol Biol; 2015; 1284():71-89. PubMed ID: 25757768
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Genome-wide discovery of active regulatory elements and transcription factor footprints in
    Ho MCW; Quintero-Cadena P; Sternberg PW
    Genome Res; 2017 Dec; 27(12):2108-2119. PubMed ID: 29074739
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of computational footprinting methods for DNase sequencing experiments.
    Gusmao EG; Allhoff M; Zenke M; Costa IG
    Nat Methods; 2016 Apr; 13(4):303-9. PubMed ID: 26901649
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mapping and dynamics of regulatory DNA and transcription factor networks in A. thaliana.
    Sullivan AM; Arsovski AA; Lempe J; Bubb KL; Weirauch MT; Sabo PJ; Sandstrom R; Thurman RE; Neph S; Reynolds AP; Stergachis AB; Vernot B; Johnson AK; Haugen E; Sullivan ST; Thompson A; Neri FV; Weaver M; Diegel M; Mnaimneh S; Yang A; Hughes TR; Nemhauser JL; Queitsch C; Stamatoyannopoulos JA
    Cell Rep; 2014 Sep; 8(6):2015-2030. PubMed ID: 25220462
    [TBL] [Abstract][Full Text] [Related]  

  • 8. XL-DNase-Seq: Footprinting Analysis of Dynamic Transcription Factors.
    Oh KS; Aqdas M; Sung MH
    Methods Mol Biol; 2024; 2846():243-261. PubMed ID: 39141240
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DNase I SIM: A Simplified In-Nucleus Method for DNase I Hypersensitive Site Sequencing.
    Filichkin SA; Megraw M
    Methods Mol Biol; 2017; 1629():141-154. PubMed ID: 28623584
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Explicit DNase sequence bias modeling enables high-resolution transcription factor footprint detection.
    Yardımcı GG; Frank CL; Crawford GE; Ohler U
    Nucleic Acids Res; 2014 Oct; 42(19):11865-78. PubMed ID: 25294828
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Most brain disease-associated and eQTL haplotypes are not located within transcription factor DNase-seq footprints in brain.
    Handel AE; Gallone G; Zameel Cader M; Ponting CP
    Hum Mol Genet; 2017 Jan; 26(1):79-89. PubMed ID: 27798116
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genome-Wide Mapping of DNase I Hypersensitive Sites in Tomato.
    Li R; Cui X
    Methods Mol Biol; 2018; 1830():367-379. PubMed ID: 30043382
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Genome-scale mapping of DNase I hypersensitivity.
    John S; Sabo PJ; Canfield TK; Lee K; Vong S; Weaver M; Wang H; Vierstra J; Reynolds AP; Thurman RE; Stamatoyannopoulos JA
    Curr Protoc Mol Biol; 2013 Jul; Chapter 27():Unit 21.27. PubMed ID: 23821440
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Wellington: a novel method for the accurate identification of digital genomic footprints from DNase-seq data.
    Piper J; Elze MC; Cauchy P; Cockerill PN; Bonifer C; Ott S
    Nucleic Acids Res; 2013 Nov; 41(21):e201. PubMed ID: 24071585
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes.
    Baek S; Sung MH
    Methods Mol Biol; 2016; 1418():225-40. PubMed ID: 27008018
    [TBL] [Abstract][Full Text] [Related]  

  • 16. High-resolution mapping of in vivo genomic transcription factor binding sites using in situ DNase I footprinting and ChIP-seq.
    Chumsakul O; Nakamura K; Kurata T; Sakamoto T; Hobman JL; Ogasawara N; Oshima T; Ishikawa S
    DNA Res; 2013 Aug; 20(4):325-38. PubMed ID: 23580539
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting cell-type-specific gene expression from regions of open chromatin.
    Natarajan A; Yardimci GG; Sheffield NC; Crawford GE; Ohler U
    Genome Res; 2012 Sep; 22(9):1711-22. PubMed ID: 22955983
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genome-Wide Identification of Regulatory DNA Elements in Crop Plants.
    Li Z; Wang K
    Methods Mol Biol; 2020; 2072():85-99. PubMed ID: 31541440
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A practical guide for DNase-seq data analysis: from data management to common applications.
    Liu Y; Fu L; Kaufmann K; Chen D; Chen M
    Brief Bioinform; 2019 Sep; 20(5):1865-1877. PubMed ID: 30010713
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genome-wide footprinting: ready for prime time?
    Sung MH; Baek S; Hager GL
    Nat Methods; 2016 Mar; 13(3):222-228. PubMed ID: 26914206
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.