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 *

605 related articles for article (PubMed ID: 27519564)

  • 1. iTAR: a web server for identifying target genes of transcription factors using ChIP-seq or ChIP-chip data.
    Yang CC; Andrews EH; Chen MH; Wang WY; Chen JJ; Gerstein M; Liu CC; Cheng C
    BMC Genomics; 2016 Aug; 17(1):632. PubMed ID: 27519564
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data.
    Ambrosini G; Dreos R; Kumar S; Bucher P
    BMC Genomics; 2016 Nov; 17(1):938. PubMed ID: 27863463
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. PscanChIP: Finding over-represented transcription factor-binding site motifs and their correlations in sequences from ChIP-Seq experiments.
    Zambelli F; Pesole G; Pavesi G
    Nucleic Acids Res; 2013 Jul; 41(Web Server issue):W535-43. PubMed ID: 23748563
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A map of direct TF-DNA interactions in the human genome.
    Gheorghe M; Sandve GK; Khan A; Chèneby J; Ballester B; Mathelier A
    Nucleic Acids Res; 2019 Feb; 47(4):e21. PubMed ID: 30517703
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Expresso: A database and web server for exploring the interaction of transcription factors and their target genes in
    Aghamirzaie D; Raja Velmurugan K; Wu S; Altarawy D; Heath LS; Grene R
    F1000Res; 2017; 6():372. PubMed ID: 28529706
    [No Abstract]   [Full Text] [Related]  

  • 7. Inferring condition-specific targets of human TF-TF complexes using ChIP-seq data.
    Yang CC; Chen MH; Lin SY; Andrews EH; Cheng C; Liu CC; Chen JJ
    BMC Genomics; 2017 Jan; 18(1):61. PubMed ID: 28068916
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.
    Wong KC; Li Y; Peng C; Zhang Z
    Bioinformatics; 2015 Jan; 31(1):17-24. PubMed ID: 25192742
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ChIPseek, a web-based analysis tool for ChIP data.
    Chen TW; Li HP; Lee CC; Gan RC; Huang PJ; Wu TH; Lee CY; Chang YF; Tang P
    BMC Genomics; 2014 Jun; 15(1):539. PubMed ID: 24974934
    [TBL] [Abstract][Full Text] [Related]  

  • 10. TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles.
    Cheng C; Min R; Gerstein M
    Bioinformatics; 2011 Dec; 27(23):3221-7. PubMed ID: 22039215
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ePIANNO: ePIgenomics ANNOtation tool.
    Liu CH; Ho BC; Chen CL; Chang YH; Hsu YC; Li YC; Yuan SS; Huang YH; Chang CS; Li KC; Chen HY
    PLoS One; 2016; 11(2):e0148321. PubMed ID: 26859295
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CAGER: classification analysis of gene expression regulation using multiple information sources.
    Ruan J; Zhang W
    BMC Bioinformatics; 2005 May; 6():114. PubMed ID: 15890068
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Chromatin immunoprecipitation and multiplex sequencing (ChIP-Seq) to identify global transcription factor binding sites in the nematode Caenorhabditis elegans.
    Brdlik CM; Niu W; Snyder M
    Methods Enzymol; 2014; 539():89-111. PubMed ID: 24581441
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MixChIP: a probabilistic method for cell type specific protein-DNA binding analysis.
    Rautio S; Lähdesmäki H
    BMC Bioinformatics; 2015 Dec; 16():413. PubMed ID: 26703974
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CASSys: an integrated software-system for the interactive analysis of ChIP-seq data.
    Alawi M; Kurtz S; Beckstette M
    J Integr Bioinform; 2011 Jun; 8(2):155. PubMed ID: 21690655
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MYBS: a comprehensive web server for mining transcription factor binding sites in yeast.
    Tsai HK; Chou MY; Shih CH; Huang GT; Chang TH; Li WH
    Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W221-6. PubMed ID: 17537814
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MEME-ChIP: motif analysis of large DNA datasets.
    Machanick P; Bailey TL
    Bioinformatics; 2011 Jun; 27(12):1696-7. PubMed ID: 21486936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying peaks in *-seq data using shape information.
    Strino F; Lappe M
    BMC Bioinformatics; 2016 Jun; 17 Suppl 5(Suppl 5):206. PubMed ID: 27295177
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Differential motif enrichment analysis of paired ChIP-seq experiments.
    Lesluyes T; Johnson J; Machanick P; Bailey TL
    BMC Genomics; 2014 Sep; 15(1):752. PubMed ID: 25179504
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Seten: a tool for systematic identification and comparison of processes, phenotypes, and diseases associated with RNA-binding proteins from condition-specific CLIP-seq profiles.
    Budak G; Srivastava R; Janga SC
    RNA; 2017 Jun; 23(6):836-846. PubMed ID: 28336542
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 31.