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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

606 related items for PubMed ID: 27519564

  • 21. annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq.
    Tang X, Srivastava A, Liu H, Machiraju R, Huang K, Leone G.
    Bioinformatics; 2017 May 15; 33(10):1570-1571. PubMed ID: 28169395
    [Abstract] [Full Text] [Related]

  • 22. Cell-type specificity of ChIP-predicted transcription factor binding sites.
    Håndstad T, Rye M, Močnik R, Drabløs F, Sætrom P.
    BMC Genomics; 2012 Aug 03; 13():372. PubMed ID: 22863112
    [Abstract] [Full Text] [Related]

  • 23. W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data.
    Lan X, Bonneville R, Apostolos J, Wu W, Jin VX.
    Bioinformatics; 2011 Feb 01; 27(3):428-30. PubMed ID: 21138948
    [Abstract] [Full Text] [Related]

  • 24. 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 01; 41(Database issue):D177-87. PubMed ID: 23161675
    [Abstract] [Full Text] [Related]

  • 25. Integrative analysis of ChIP-chip and ChIP-seq dataset.
    Zhu LJ.
    Methods Mol Biol; 2013 Jan 01; 1067():105-24. PubMed ID: 23975789
    [Abstract] [Full Text] [Related]

  • 26. CRSD: a comprehensive web server for composite regulatory signature discovery.
    Liu CC, Lin CC, Chen WS, Chen HY, Chang PC, Chen JJ, Yang PC.
    Nucleic Acids Res; 2006 Jul 01; 34(Web Server issue):W571-7. PubMed ID: 16845073
    [Abstract] [Full Text] [Related]

  • 27. Statistics of protein-DNA binding and the total number of binding sites for a transcription factor in the mammalian genome.
    Kuznetsov VA, Singh O, Jenjaroenpun P.
    BMC Genomics; 2010 Feb 10; 11 Suppl 1(Suppl 1):S12. PubMed ID: 20158869
    [Abstract] [Full Text] [Related]

  • 28. INSECT: IN-silico SEarch for Co-occurring Transcription factors.
    Rohr CO, Parra RG, Yankilevich P, Perez-Castro C.
    Bioinformatics; 2013 Nov 15; 29(22):2852-8. PubMed ID: 24008418
    [Abstract] [Full Text] [Related]

  • 29. ChIP-Array: combinatory analysis of ChIP-seq/chip and microarray gene expression data to discover direct/indirect targets of a transcription factor.
    Qin J, Li MJ, Wang P, Zhang MQ, Wang J.
    Nucleic Acids Res; 2011 Jul 15; 39(Web Server issue):W430-6. PubMed ID: 21586587
    [Abstract] [Full Text] [Related]

  • 30. Nebula--a web-server for advanced ChIP-seq data analysis.
    Boeva V, Lermine A, Barette C, Guillouf C, Barillot E.
    Bioinformatics; 2012 Oct 01; 28(19):2517-9. PubMed ID: 22829625
    [Abstract] [Full Text] [Related]

  • 31. ChIPSummitDB: a ChIP-seq-based database of human transcription factor binding sites and the topological arrangements of the proteins bound to them.
    Czipa E, Schiller M, Nagy T, Kontra L, Steiner L, Koller J, Pálné-Szén O, Barta E.
    Database (Oxford); 2020 Jan 01; 2020():. PubMed ID: 31942977
    [Abstract] [Full Text] [Related]

  • 32. De novo prediction of cis-regulatory elements and modules through integrative analysis of a large number of ChIP datasets.
    Niu M, Tabari ES, Su Z.
    BMC Genomics; 2014 Dec 02; 15():1047. PubMed ID: 25442502
    [Abstract] [Full Text] [Related]

  • 33. 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 02; 40(Web Server issue):W510-5. PubMed ID: 22669907
    [Abstract] [Full Text] [Related]

  • 34. hTFtarget: A Comprehensive Database for Regulations of Human Transcription Factors and Their Targets.
    Zhang Q, Liu W, Zhang HM, Xie GY, Miao YR, Xia M, Guo AY.
    Genomics Proteomics Bioinformatics; 2020 Apr 02; 18(2):120-128. PubMed ID: 32858223
    [Abstract] [Full Text] [Related]

  • 35. Direct ChIP-Seq significance analysis improves target prediction.
    Bansal M, Mendiratta G, Anand S, Kushwaha R, Kim R, Kustagi M, Iyer A, Chaganti RS, Califano A, Sumazin P.
    BMC Genomics; 2015 Apr 02; 16 Suppl 5(Suppl 5):S4. PubMed ID: 26040656
    [Abstract] [Full Text] [Related]

  • 36. Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites.
    Wong KC, Peng C, Li Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Apr 02; 12(6):1416-28. PubMed ID: 26671811
    [Abstract] [Full Text] [Related]

  • 37. 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 02; 11():369. PubMed ID: 20598134
    [Abstract] [Full Text] [Related]

  • 38. Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data.
    Zhang L, Xue G, Liu J, Li Q, Wang Y.
    BMC Genomics; 2018 Dec 31; 19(Suppl 10):914. PubMed ID: 30598100
    [Abstract] [Full Text] [Related]

  • 39. ChIPXpress: using publicly available gene expression data to improve ChIP-seq and ChIP-chip target gene ranking.
    Wu G, Ji H.
    BMC Bioinformatics; 2013 Jun 10; 14():188. PubMed ID: 23758851
    [Abstract] [Full Text] [Related]

  • 40. PICS: probabilistic inference for ChIP-seq.
    Zhang X, Robertson G, Krzywinski M, Ning K, Droit A, Jones S, Gottardo R.
    Biometrics; 2011 Mar 10; 67(1):151-63. PubMed ID: 20528864
    [Abstract] [Full Text] [Related]

    Page: [Previous] [Next] [New Search]
    of 31.