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Journal Abstract Search

415 related items for PubMed ID: 25179504

  • 1. Differential motif enrichment analysis of paired ChIP-seq experiments.
    Lesluyes T, Johnson J, Machanick P, Bailey TL.
    BMC Genomics; 2014 Sep 02; 15(1):752. PubMed ID: 25179504
    [Abstract] [Full Text] [Related]

  • 2. Inferring direct DNA binding from ChIP-seq.
    Bailey TL, Machanick P.
    Nucleic Acids Res; 2012 Sep 01; 40(17):e128. PubMed ID: 22610855
    [Abstract] [Full Text] [Related]

  • 3. Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichment.
    Worsley Hunt R, Mathelier A, Del Peso L, Wasserman WW.
    BMC Genomics; 2014 Jun 13; 15(1):472. PubMed ID: 24927817
    [Abstract] [Full Text] [Related]

  • 4. SIOMICS: a novel approach for systematic identification of motifs in ChIP-seq data.
    Ding J, Hu H, Li X.
    Nucleic Acids Res; 2014 Mar 13; 42(5):e35. PubMed ID: 24322294
    [Abstract] [Full Text] [Related]

  • 5. 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 13; 41(Web Server issue):W535-43. PubMed ID: 23748563
    [Abstract] [Full Text] [Related]

  • 6. MEME-ChIP: motif analysis of large DNA datasets.
    Machanick P, Bailey TL.
    Bioinformatics; 2011 Jun 15; 27(12):1696-7. PubMed ID: 21486936
    [Abstract] [Full Text] [Related]

  • 7. Optimally choosing PWM motif databases and sequence scanning approaches based on ChIP-seq data.
    Dabrowski M, Dojer N, Krystkowiak I, Kaminska B, Wilczynski B.
    BMC Bioinformatics; 2015 May 01; 16():140. PubMed ID: 25927199
    [Abstract] [Full Text] [Related]

  • 8. A Fast Cluster Motif Finding Algorithm for ChIP-Seq Data Sets.
    Zhang Y, Wang P.
    Biomed Res Int; 2015 May 01; 2015():218068. PubMed ID: 26236718
    [Abstract] [Full Text] [Related]

  • 9. A new exhaustive method and strategy for finding motifs in ChIP-enriched regions.
    Jia C, Carson MB, Wang Y, Lin Y, Lu H.
    PLoS One; 2014 May 01; 9(1):e86044. PubMed ID: 24475069
    [Abstract] [Full Text] [Related]

  • 10. Integrative analysis of C. elegans modENCODE ChIP-seq data sets to infer gene regulatory interactions.
    Van Nostrand EL, Kim SK.
    Genome Res; 2013 Jun 01; 23(6):941-53. PubMed ID: 23531767
    [Abstract] [Full Text] [Related]

  • 11. Motif-based analysis of large nucleotide data sets using MEME-ChIP.
    Ma W, Noble WS, Bailey TL.
    Nat Protoc; 2014 Jun 01; 9(6):1428-50. PubMed ID: 24853928
    [Abstract] [Full Text] [Related]

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  • 13. RSAT::Plants: Motif Discovery in ChIP-Seq Peaks of Plant Genomes.
    Castro-Mondragon JA, Rioualen C, Contreras-Moreira B, van Helden J.
    Methods Mol Biol; 2016 Jun 01; 1482():297-322. PubMed ID: 27557775
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  • 15. Using combined evidence from replicates to evaluate ChIP-seq peaks.
    Jalili V, Matteucci M, Masseroli M, Morelli MJ.
    Bioinformatics; 2015 Sep 01; 31(17):2761-9. PubMed ID: 25957351
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  • 17. oPOSSUM-3: advanced analysis of regulatory motif over-representation across genes or ChIP-Seq datasets.
    Kwon AT, Arenillas DJ, Worsley Hunt R, Wasserman WW.
    G3 (Bethesda); 2012 Sep 01; 2(9):987-1002. PubMed ID: 22973536
    [Abstract] [Full Text] [Related]

  • 18. Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data.
    Eggeling R, Roos T, Myllymäki P, Grosse I.
    BMC Bioinformatics; 2015 Nov 09; 16():375. PubMed ID: 26552868
    [Abstract] [Full Text] [Related]

  • 19. Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data.
    McLeay RC, Bailey TL.
    BMC Bioinformatics; 2010 Apr 01; 11():165. PubMed ID: 20356413
    [Abstract] [Full Text] [Related]

  • 20. P-value-based regulatory motif discovery using positional weight matrices.
    Hartmann H, Guthöhrlein EW, Siebert M, Luehr S, Söding J.
    Genome Res; 2013 Jan 01; 23(1):181-94. PubMed ID: 22990209
    [Abstract] [Full Text] [Related]

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