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Biblio

Found 1346 results
2017
Tokar T, Pastrello C, Rossos AEM, Abovsky M, Hauschild A-C, Tsay M, Lu R, Jurisica I.  2017.  mirDIP 4.1-integrative database of human microRNA target predictions.. Nucleic Acids Res.
Zhang H, Silva BVieira Res, Cui J.  2017.  miRDis: a Web tool for endogenous and exogenous microRNA discovery based on deep-sequencing data analysis.. Brief Bioinform.
Hinske LC, Santos FRCDos, Ohara DT, Ohno-Machado L, Kreth S, Galante PAF.  2017.  MiRIAD update: using alternative polyadenylation, protein interaction network analysis and additional species to enhance exploration of the role of intragenic miRNAs and their host genes.. Database (Oxford). 2017
Panwar B, Omenn GS, Guan Y.  2017.  miRmine: A Database of Human miRNA Expression Profiles.. Bioinformatics.
Das SSubhra, James M, Paul S, Chakravorty N.  2017.  miRnalyze: an interactive database linking tool to unlock intuitive microRNA regulation of cell signaling pathways.. Database (Oxford). 2017(1)
Singh NKumar.  2017.  miRNAs target databases: developmental methods and target identification techniques with functional annotations.. Cell Mol Life Sci. 74(12):2239-2261.
Vitsios DM, Kentepozidou E, Quintais L, Benito-Gutiérrez E, van Dongen S, Davis MP, Enright AJ.  2017.  Mirnovo: genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests.. Nucleic Acids Res. 45(21):e177.
Chaves I, Costa BVasques, Rodrigues AS, Bohn A, Miguel CM.  2017.  miRPursuit-a pipeline for automated analyses of small RNAs in model and nonmodel plants.. FEBS Lett. 591(15):2261-2268.
Nalluri JJ, Barh D, Azevedo V, Ghosh P.  2017.  miRsig: a consensus-based network inference methodology to identify pan-cancer miRNA-miRNA interaction signatures.. Sci Rep. 7:39684.
Chou C-H, Shrestha S, Yang C-D, Chang N-W, Lin Y-L, Liao K-W, Huang W-C, Sun T-H, Tu S-J, Lee W-H et al..  2017.  miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions.. Nucleic Acids Res.
L'Yi S, Jung D, Oh M, Kim B, Freishtat RJ, Giri M, Hoffman E, Seo J.  2017.  miRTarVis+: Web-based interactive visual analytics tool for microRNA target predictions.. Methods. 124:78-88.
Hua X, Tang R, Xu X, Wang Z, Xu Q, Chen L, Wingender E, Li J, Zhang C, Wang J.  2017.  mirTrans: a resource of transcriptional regulation on microRNAs for human cell lines.. Nucleic Acids Res.
Chen X, Niu Y-W, Wang G-H, Yan G-Y.  2017.  MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction.. J Transl Med. 15(1):251.
Cui T, Zhang L, Huang Y, Yi Y, Tan P, Zhao Y, Hu Y, Xu L, Li E, Wang D.  2017.  MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.. Nucleic Acids Res.
Daily K, Sui SJHo, Schriml LM, Dexheimer PJ, Salomonis N, Schroll R, Bush S, Keddache M, Mayhew C, Lotia S et al..  2017.  Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives.. Sci Data. 4:170030.
Liu Y, Sun S, Bredy T, Wood M, Spitale RC, Baldi P.  2017.  MotifMap-RNA: a genome-wide map of RBP binding sites.. Bioinformatics. 33(13):2029-2031.
Yue M, Zhou D, Zhi H, Wang P, Zhang Y, Gao Y, Guo M, Li X, Wang Y, Zhang Y et al..  2017.  MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases.. Nucleic Acids Res.
Chen X, Bin Xie W-, Xiao P-P, Zhao X-M, Yan H.  2017.  mTD: A database of microRNAs affecting therapeutic effects of drugs.. J Genet Genomics. 44(5):269-271.
Dai E, Yang F, Wang J, Zhou X, Song Q, An W, Wang L, Jiang W.  2017.  ncDR: a comprehensive resource of non-coding RNAs involved in drug resistance.. Bioinformatics. 33(24):4010-4011.
Petralia F, Aushev VN, Gopalakrishnan K, Kappil M, Khin NW, Chen J, Teitelbaum SL, Wang P.  2017.  A new method to study the change of miRNA-mRNA interactions due to environmental exposures.. Bioinformatics. 33(14):i199-i207.
Fang S, Zhang LL, Guo JC, Niu YW, Wu Y, Li H, Zhao LH, Li XY, Teng XY, Sun XH et al..  2017.  NONCODEV5: a comprehensive annotation database for long non-coding RNAs.. Nucleic Acids Res.
Zhong Y, Xuan P, Wang X, Zhang T, Li J, Liu Y, Zhang W.  2017.  A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.. Bioinformatics.
Ding L, Wang M, Sun D, Li A.  2017.  A novel method for identifying potential disease-related miRNAs via a disease-miRNA-target heterogeneous network.. Mol Biosyst. 13(11):2328-2337.
Fiannaca A, La Rosa M, La Paglia L, Rizzo R, Urso A.  2017.  nRC: non-coding RNA Classifier based on structural features.. BioData Min. 10:27.
Wang J, Cao Y, Zhang H, Wang T, Tian Q, Lu X, Lu X, Kong X, Liu Z, Wang N et al..  2017.  NSDNA: a manually curated database of experimentally supported ncRNAs associated with nervous system diseases.. Nucleic Acids Res. 45(D1):D902-D907.

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