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 *

139 related articles for article (PubMed ID: 20966006)

  • 1. Discovering homotypic binding events at high spatial resolution.
    Guo Y; Papachristoudis G; Altshuler RC; Gerber GK; Jaakkola TS; Gifford DK; Mahony S
    Bioinformatics; 2010 Dec; 26(24):3028-34. PubMed ID: 20966006
    [TBL] [Abstract][Full Text] [Related]  

  • 2. dPeak: high resolution identification of transcription factor binding sites from PET and SET ChIP-Seq data.
    Chung D; Park D; Myers K; Grass J; Kiley P; Landick R; Keleş S
    PLoS Comput Biol; 2013; 9(10):e1003246. PubMed ID: 24146601
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A penalized Bayesian approach to predicting sparse protein-DNA binding landscapes.
    Levinson M; Zhou Q
    Bioinformatics; 2014 Mar; 30(5):636-43. PubMed ID: 24115169
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PICS: probabilistic inference for ChIP-seq.
    Zhang X; Robertson G; Krzywinski M; Ning K; Droit A; Jones S; Gottardo R
    Biometrics; 2011 Mar; 67(1):151-63. PubMed ID: 20528864
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MACE: model based analysis of ChIP-exo.
    Wang L; Chen J; Wang C; Uusküla-Reimand L; Chen K; Medina-Rivera A; Young EJ; Zimmermann MT; Yan H; Sun Z; Zhang Y; Wu ST; Huang H; Wilson MD; Kocher JP; Li W
    Nucleic Acids Res; 2014 Nov; 42(20):e156. PubMed ID: 25249628
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data.
    Jothi R; Cuddapah S; Barski A; Cui K; Zhao K
    Nucleic Acids Res; 2008 Sep; 36(16):5221-31. PubMed ID: 18684996
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. CNV-guided multi-read allocation for ChIP-seq.
    Zhang Q; Keleş S
    Bioinformatics; 2014 Oct; 30(20):2860-7. PubMed ID: 24966364
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ChIPseqR: analysis of ChIP-seq experiments.
    Humburg P; Helliwell CA; Bulger D; Stone G
    BMC Bioinformatics; 2011 Jan; 12():39. PubMed ID: 21281468
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Use model-based Analysis of ChIP-Seq (MACS) to analyze short reads generated by sequencing protein-DNA interactions in embryonic stem cells.
    Liu T
    Methods Mol Biol; 2014; 1150():81-95. PubMed ID: 24743991
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Shape-based peak identification for ChIP-Seq.
    Hower V; Evans SN; Pachter L
    BMC Bioinformatics; 2011 Jan; 12():15. PubMed ID: 21226895
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Precise Identification of DNA-Binding Proteins Genomic Location by Exonuclease Coupled Chromatin Immunoprecipitation (ChIP-exo).
    Matteau D; Rodrigue S
    Methods Mol Biol; 2015; 1334():173-93. PubMed ID: 26404150
    [TBL] [Abstract][Full Text] [Related]  

  • 14. High resolution genome wide binding event finding and motif discovery reveals transcription factor spatial binding constraints.
    Guo Y; Mahony S; Gifford DK
    PLoS Comput Biol; 2012; 8(8):e1002638. PubMed ID: 22912568
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modelling ChIP-seq Data Using HMMs.
    Vinciotti V
    Methods Mol Biol; 2017; 1552():115-122. PubMed ID: 28224494
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extracting transcription factor targets from ChIP-Seq data.
    Tuteja G; White P; Schug J; Kaestner KH
    Nucleic Acids Res; 2009 Sep; 37(17):e113. PubMed ID: 19553195
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding.
    Zeng H; Hashimoto T; Kang DD; Gifford DK
    Bioinformatics; 2016 Feb; 32(4):490-6. PubMed ID: 26476779
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data.
    Bao Y; Vinciotti V; Wit E; 't Hoen PA
    BMC Bioinformatics; 2013 May; 14():169. PubMed ID: 23721376
    [TBL] [Abstract][Full Text] [Related]  

  • 19. HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data.
    Qin ZS; Yu J; Shen J; Maher CA; Hu M; Kalyana-Sundaram S; Yu J; Chinnaiyan AM
    BMC Bioinformatics; 2010 Jul; 11():369. PubMed ID: 20598134
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments.
    Laajala TD; Raghav S; Tuomela S; Lahesmaa R; Aittokallio T; Elo LL
    BMC Genomics; 2009 Dec; 10():618. PubMed ID: 20017957
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.