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Found 1346 results
2016
Icay K, Chen P, Cervera A, Rantanen V, Lehtonen R, Hautaniemi S.  2016.  SePIA: RNA and small RNA sequence processing, integration, and analysis.. BioData Min. 9:20.
Tsuchiya M, Amano K, Abe M, Seki M, Hase S, Sato K, Sakakibara Y.  2016.  SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processing.. Bioinformatics. 32(12):i369-i377.
Csályi K, Fazekas D, Kadlecsik T, Türei D, Gul L, Horváth B, Módos D, Demeter A, Pápai N, Lenti K et al..  2016.  SignaFish: A Zebrafish-Specific Signaling Pathway Resource.. Zebrafish.
Dar SAhmad, Thakur A, Qureshi A, Kumar M.  2016.  siRNAmod: A database of experimentally validated chemically modified siRNAs.. Sci Rep. 6:20031.
Polley E, Kunkel M, Evans D, Silvers T, Delosh R, Laudeman J, Ogle C, Reinhart R, Selby M, Connelly J et al..  2016.  Small Cell Lung Cancer Screen of Oncology Drugs, Investigational Agents, and Gene and microRNA Expression.. J Natl Cancer Inst. 108(10)
Dar SAhmad, Gupta AKumar, Thakur A, Kumar M.  2016.  SMEpred workbench: A web server for predicting efficacy of chemicallymodified siRNAs.. RNA Biol. 13(11):1144-1151.
Bhattacharya A, Cui Y.  2016.  SomamiR 2.0: a database of cancer somatic mutations altering microRNA-ceRNA interactions.. Nucleic Acids Res. 44(D1):D1005-10.
Tian T, You Q, Zhang L, Yi X, Yan H, Xu W, Su Z.  2016.  SorghumFDB: sorghum functional genomics database with multidimensional network analysis.. Database (Oxford). 2016
Will S, Jabbari H.  2016.  Sparse RNA folding revisited: space-efficient minimum free energy structure prediction.. Algorithms Mol Biol. 11:7.
Pantano L, Friedländer MR, Escaramís G, Lizano E, Pallarès-Albanell J, Ferrer I, Estivill X, Martí E.  2016.  Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson's disease revealed by deep sequencing analysis.. Bioinformatics. 32(5):673-81.
Schuster A, Tang C, Xie Y, Ortogero N, Yuan S, Yan W.  2016.  SpermBase: A Database for Sperm-Borne RNA Contents.. Biol Reprod.
Furió-Tarí P, Tarazona S, Gabaldón T, Enright AJ, Conesa A.  2016.  spongeScan: A web for detecting microRNA binding elements in lncRNA sequences.. Nucleic Acids Res. 44(W1):W176-80.
Kanoria S, Rennie W, Liu C, C Carmack S, Lu J, Ding Y.  2016.  STarMir Tools for Prediction of microRNA Binding Sites.. Methods Mol Biol. 1490:73-82.
Rennie W, Kanoria S, Liu C, Mallick B, Long D, Wolenc A, C Carmack S, Lu J, Ding Y.  2016.  STarMirDB: A database of microRNA binding sites.. RNA Biol. 13(6):554-60.
Leoni G, Tramontano A.  2016.  A structural view of microRNA-target recognition.. Nucleic Acids Res. 44(9):e82.
Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A, Szcześniak MWojciech, Gaffney DJ, Elo LL, Zhang X et al..  2016.  A survey of best practices for RNA-seq data analysis.. Genome Biol. 17:13.
Wang Y, Cai Y.  2016.  A survey on database resources for microRNA-disease relationships.. Brief Funct Genomics.
Zhao M, Liu D, Qu H.  2016.  Systematic review of next-generation sequencing simulators: computational tools, features and perspectives.. Brief Funct Genomics.
Andrews MC, Cursons J, Hurley DG, Anaka M, Cebon JS, Behren A, Crampin EJ.  2016.  Systems analysis identifies miR-29b regulation of invasiveness in melanoma.. Mol Cancer. 15(1):72.
Ding J, Li X, Hu H.  2016.  TarPmiR: a new approach for microRNA target site prediction.. Bioinformatics.
Lukasik A, Wójcikowski M, Zielenkiewicz P.  2016.  Tools4miRs - one place to gather all the tools for miRNA analysis.. Bioinformatics.
Zheng L-L, Xu W-L, Liu S, Sun W-J, Li J-H, Wu J, Yang J-H, Qu L-H.  2016.  tRF2Cancer: A web server to detect tRNA-derived small RNA fragments (tRFs) and their expression in multiple cancers.. Nucleic Acids Res. 44(W1):W185-93.
Zhao M, Kim P, Mitra R, Zhao J, Zhao Z.  2016.  TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes.. Nucleic Acids Res. 44(D1):D1023-31.
Guzzi PHiram, Tradigo G, Veltri P.  2016.  Using miRNA-Analyzer for the Analysis of miRNA Data.. Microarrays (Basel). 5(4)
Chen X, Yan CClarence, Zhang X, You Z-H, Deng L, Liu Y, Zhang Y, Dai Q.  2016.  WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.. Sci Rep. 6:21106.

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