BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

254 related articles for article (PubMed ID: 24875471)

  • 1. PTHGRN: unraveling post-translational hierarchical gene regulatory networks using PPI, ChIP-seq and gene expression data.
    Guan D; Shao J; Zhao Z; Wang P; Qin J; Deng Y; Boheler KR; Wang J; Yan B
    Nucleic Acids Res; 2014 Jul; 42(Web Server issue):W130-6. PubMed ID: 24875471
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CMGRN: a web server for constructing multilevel gene regulatory networks using ChIP-seq and gene expression data.
    Guan D; Shao J; Deng Y; Wang P; Zhao Z; Liang Y; Wang J; Yan B
    Bioinformatics; 2014 Apr; 30(8):1190-1192. PubMed ID: 24389658
    [TBL] [Abstract][Full Text] [Related]  

  • 3. ChIP-Array 2: integrating multiple omics data to construct gene regulatory networks.
    Wang P; Qin J; Qin Y; Zhu Y; Wang LY; Li MJ; Zhang MQ; Wang J
    Nucleic Acids Res; 2015 Jul; 43(W1):W264-9. PubMed ID: 25916854
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data.
    Gu F; Hsu HK; Hsu PY; Wu J; Ma Y; Parvin J; Huang TH; Jin VX
    BMC Syst Biol; 2010 Dec; 4():170. PubMed ID: 21167036
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EpiRegNet: constructing epigenetic regulatory network from high throughput gene expression data for humans.
    Wang LY; Wang P; Li MJ; Qin J; Wang X; Zhang MQ; Wang J
    Epigenetics; 2011 Dec; 6(12):1505-12. PubMed ID: 22139581
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ChIPBase v2.0: decoding transcriptional regulatory networks of non-coding RNAs and protein-coding genes from ChIP-seq data.
    Zhou KR; Liu S; Sun WJ; Zheng LL; Zhou H; Yang JH; Qu LH
    Nucleic Acids Res; 2017 Jan; 45(D1):D43-D50. PubMed ID: 27924033
    [TBL] [Abstract][Full Text] [Related]  

  • 7. cGRNB: a web server for building combinatorial gene regulatory networks through integrated engineering of seed-matching sequence information and gene expression datasets.
    Xu H; Yu H; Tu K; Shi Q; Wei C; Li YY; Li YX
    BMC Syst Biol; 2013; 7 Suppl 2(Suppl 2):S7. PubMed ID: 24565134
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data.
    Gong W; Koyano-Nakagawa N; Li T; Garry DJ
    BMC Bioinformatics; 2015 Mar; 16():74. PubMed ID: 25887857
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrative analysis of ChIP-chip and ChIP-seq dataset.
    Zhu LJ
    Methods Mol Biol; 2013; 1067():105-24. PubMed ID: 23975789
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LegumeGRN: a gene regulatory network prediction server for functional and comparative studies.
    Wang M; Verdier J; Benedito VA; Tang Y; Murray JD; Ge Y; Becker JD; Carvalho H; Rogers C; Udvardi M; He J
    PLoS One; 2013; 8(7):e67434. PubMed ID: 23844010
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Histone H4 acetylation and the epigenetic reader Brd4 are critical regulators of pluripotency in embryonic stem cells.
    Gonzales-Cope M; Sidoli S; Bhanu NV; Won KJ; Garcia BA
    BMC Genomics; 2016 Feb; 17():95. PubMed ID: 26847871
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape.
    Griffon A; Barbier Q; Dalino J; van Helden J; Spicuglia S; Ballester B
    Nucleic Acids Res; 2015 Feb; 43(4):e27. PubMed ID: 25477382
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Seqinspector: position-based navigation through the ChIP-seq data landscape to identify gene expression regulators.
    Piechota M; Korostynski M; Ficek J; Tomski A; Przewlocki R
    BMC Bioinformatics; 2016 Feb; 17():85. PubMed ID: 26868127
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Searching ChIP-seq genomic islands for combinatorial regulatory codes in mouse embryonic stem cells.
    Chen G; Zhou Q
    BMC Genomics; 2011 Oct; 12():515. PubMed ID: 22011333
    [TBL] [Abstract][Full Text] [Related]  

  • 17.
    Zeng J; Li G
    Int J Biol Sci; 2018; 14(12):1724-1731. PubMed ID: 30416387
    [No Abstract]   [Full Text] [Related]  

  • 18. Cscan: finding common regulators of a set of genes by using a collection of genome-wide ChIP-seq datasets.
    Zambelli F; Prazzoli GM; Pesole G; Pavesi G
    Nucleic Acids Res; 2012 Jul; 40(Web Server issue):W510-5. PubMed ID: 22669907
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ChIPBase: a database for decoding the transcriptional regulation of long non-coding RNA and microRNA genes from ChIP-Seq data.
    Yang JH; Li JH; Jiang S; Zhou H; Qu LH
    Nucleic Acids Res; 2013 Jan; 41(Database issue):D177-87. PubMed ID: 23161675
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.
    Hsu SD; Huang HY; Chou CH; Sun YM; Hsu MT; Tsou AP
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S12. PubMed ID: 25707768
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.