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Found 1346 results
2016
Fiannaca A, La Rosa M, La Paglia L, Rizzo R, Urso A.  2016.  MiRNATIP: a SOM-based miRNA-target interactions predictor.. BMC Bioinformatics. 17(Suppl 11):321.
Fan Y, Siklenka K, Arora SK, Ribeiro P, Kimmins S, Xia J.  2016.  miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis.. Nucleic Acids Res. 44(W1):W135-41.
Backes C, Kehl T, Stöckel D, Fehlmann T, Schneider L, Meese E, Lenhof H-P, Keller A.  2016.  miRPathDB: a new dictionary on microRNAs and target pathways.. Nucleic Acids Res.
Lánczky A, Nagy Á, Bottai G, Munkácsy G, Szabó A, Santarpia L, Győrffy B.  2016.  miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patients.. Breast Cancer Res Treat.
Kanke M, Baran-Gale J, Villanueva J, Sethupathy P.  2016.  miRquant 2.0: an Expanded Tool for Accurate Annotation and Quantification of MicroRNAs and their isomiRs from Small RNA-Sequencing Data.. J Integr Bioinform. 13(5):307.
Aguiar RR, Ambrosio LA, Sepúlveda-Hermosilla G, Maracaja-Coutinho V, Paschoal AR.  2016.  miRQuest: integration of tools on a Web server for microRNA research.. Genet Mol Res. 15(1)
Han J, Liu S, Zhang Y, Xu Y, Jiang Y, Zhang C, Li C, Li X.  2016.  MiRSEA: Discovering the pathways regulated by dysfunctional MicroRNAs.. Oncotarget.
Ahadi A, Sablok G, Hutvagner G.  2016.  miRTar2GO: a novel rule-based model learning method for cell line specific microRNA target prediction that integrates Ago2 CLIP-Seq and validated microRNA-target interaction data.. Nucleic Acids Res.
Chou C-H, Chang N-W, Shrestha S, Da Hsu S-, Lin Y-L, Lee W-H, Yang C-D, Hong H-C, Wei T-Y, Tu S-J et al..  2016.  miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database.. Nucleic Acids Res. 44(D1):D239-47.
Hamberg M, Backes C, Fehlmann T, Hart M, Meder B, Meese E, Keller A.  2016.  MiRTargetLink--miRNAs, Genes and Interaction Networks.. Int J Mol Sci. 17(4):564.
[Anonymous].  2016.  MiRTDL: A Deep Learning Approach for miRNA Target Prediction.. IEEE/ACM Trans Comput Biol Bioinform. 13(6):1161-1169.
Cammaerts S, Strazisar M, Dierckx J, Del Favero J, De Rijk P.  2016.  miRVaS: a tool to predict the impact of genetic variants on miRNAs.. Nucleic Acids Res. 44(3):e23.
Seguin J, Otten P, Baerlocher L, Farinelli L, Pooggin MM.  2016.  MISIS-2: A bioinformatics tool for in-depth analysis of small RNAs and representation of consensus master genome in viral quasispecies.. J Virol Methods. 233:37-40.
Van Peer G, De Paepe A, Stock M, Anckaert J, Volders P-J, Vandesompele J, De Baets B, Waegeman W.  2016.  miSTAR: miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure.. Nucleic Acids Res.
Preusse M, Theis FJ, Mueller NS.  2016.  miTALOS v2: Analyzing Tissue Specific microRNA Function.. PLoS One. 11(3):e0151771.
Patel P, S Ramachandruni D, Kakrana A, Nakano M, Meyers BC.  2016.  miTRATA: a web-based tool for microRNA Truncation and Tailing Analysis.. Bioinformatics. 32(3):450-2.
Piao Y, Piao M, Ryu KHo.  2016.  Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles.. Comput Biol Med. 80:39-44.
Cohn-Alperovich D, Rabner A, Kifer I, Mandel-Gutfreund Y, Yakhini Z.  2016.  Mutual enrichment in aggregated ranked lists with applications to gene expression regulation.. Bioinformatics. 32(17):i464-i472.
An O, Dall'Olio GM, Mourikis TP, Ciccarelli FD.  2016.  NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings.. Nucleic Acids Res. 44(D1):D992-9.
Li J, Lei K, Wu Z, Li W, Liu G, Liu J, Cheng F, Tang Y.  2016.  Network-based identification of microRNAs as potential pharmacogenomic biomarkers for anticancer drugs.. Oncotarget.
Antczak M, Popenda M, Zok T, Sarzynska J, Ratajczak T, Tomczyk K, Adamiak RW, Szachniuk M.  2016.  New functionality of RNAComposer: an application to shape the axis of miR160 precursor structure.. Acta Biochim Pol. 63(4):737-744.
Zhao Y, Li H, Fang S, Kang Y, Wu W, Hao Y, Li Z, Bu D, Sun N, Zhang MQ et al..  2016.  NONCODE 2016: an informative and valuable data source of long non-coding RNAs.. Nucleic Acids Res. 44(D1):D203-8.
Zhao Y, Yuan J, Chen R.  2016.  NONCODEv4: Annotation of Noncoding RNAs with Emphasis on Long Noncoding RNAs.. Methods Mol Biol. 1402:243-254.
Yang Z, Michailidis G.  2016.  A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data.. Bioinformatics. 32(1):1-8.
Liang C, Li Y, Luo J.  2016.  A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging.. IEEE/ACM Trans Comput Biol Bioinform. 13(3):549-56.

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