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Journal Abstract Search

630 related items for PubMed ID: 23377977

  • 1. Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data.
    Yang JH, Qu LH.
    Adv Exp Med Biol; 2013; 774():251-66. PubMed ID: 23377977
    [Abstract] [Full Text] [Related]

  • 2. starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data.
    Yang JH, Li JH, Shao P, Zhou H, Chen YQ, Qu LH.
    Nucleic Acids Res; 2011 Jan; 39(Database issue):D202-9. PubMed ID: 21037263
    [Abstract] [Full Text] [Related]

  • 3. Discovering circRNA-microRNA Interactions from CLIP-Seq Data.
    Zhang XQ, Yang JH.
    Methods Mol Biol; 2018 Jan; 1724():193-207. PubMed ID: 29322451
    [Abstract] [Full Text] [Related]

  • 4. starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data.
    Li JH, Liu S, Zhou H, Qu LH, Yang JH.
    Nucleic Acids Res; 2014 Jan; 42(Database issue):D92-7. PubMed ID: 24297251
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  • 6. MtiBase: a database for decoding microRNA target sites located within CDS and 5'UTR regions from CLIP-Seq and expression profile datasets.
    Guo ZW, Xie C, Yang JR, Li JH, Yang JH, Zheng L.
    Database (Oxford); 2015 Jan; 2015():. PubMed ID: 26490638
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  • 8. Bioinformatics method to predict two regulation mechanism: TF-miRNA-mRNA and lncRNA-miRNA-mRNA in pancreatic cancer.
    Ye S, Yang L, Zhao X, Song W, Wang W, Zheng S.
    Cell Biochem Biophys; 2014 Dec; 70(3):1849-58. PubMed ID: 25087086
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  • 11. CLIPdb: a CLIP-seq database for protein-RNA interactions.
    Yang YC, Di C, Hu B, Zhou M, Liu Y, Song N, Li Y, Umetsu J, Lu ZJ.
    BMC Genomics; 2015 Feb 05; 16(1):51. PubMed ID: 25652745
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  • 12. The integrated analysis of RNA-seq and microRNA-seq depicts miRNA-mRNA networks involved in Japanese flounder (Paralichthys olivaceus) albinism.
    Wang N, Wang R, Wang R, Tian Y, Shao C, Jia X, Chen S.
    PLoS One; 2017 Feb 05; 12(8):e0181761. PubMed ID: 28777813
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  • 13. The use of high-throughput sequencing methods for plant microRNA research.
    Ma X, Tang Z, Qin J, Meng Y.
    RNA Biol; 2015 Feb 05; 12(7):709-19. PubMed ID: 26016494
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  • 14. 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 05; 23(6):836-846. PubMed ID: 28336542
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  • 15. Discovering functional microRNA-mRNA regulatory modules in heterogeneous data.
    Liu B, Liu L, Tsykin A, Goodall GJ, Cairns MJ, Li J.
    Adv Exp Med Biol; 2013 Jun 05; 774():267-90. PubMed ID: 23377978
    [Abstract] [Full Text] [Related]

  • 16. 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 05; 41(Database issue):D177-87. PubMed ID: 23161675
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  • 18. MicroRNA transcriptome profiling of mice brains infected with Japanese encephalitis virus by RNA sequencing.
    Li XF, Cao RB, Luo J, Fan JM, Wang JM, Zhang YP, Gu JY, Feng XL, Zhou B, Chen PY.
    Infect Genet Evol; 2016 Apr 05; 39():249-257. PubMed ID: 26845346
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  • 20. High-throughput mRNA and miRNA profiling of epithelial-mesenchymal transition in MDCK cells.
    Shukla P, Vogl C, Wallner B, Rigler D, Müller M, Macho-Maschler S.
    BMC Genomics; 2015 Nov 16; 16():944. PubMed ID: 26572553
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