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Found 1346 results
2014
Pan C-T, Tsai K-W, Hung T-M, Lin W-C, Pan C-Y, Yu H-R, Li S-C.  2014.  miRSeq: a user-friendly standalone toolkit for sequencing quality evaluation and miRNA profiling.. Biomed Res Int. 2014:462135.
Li Y, Liang C, Wong K-C, Luo J, Zhang Z.  2014.  Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.. Bioinformatics. 30(18):2627-35.
Laganà A, Acunzo M, Romano G, Pulvirenti A, Veneziano D, Cascione L, Giugno R, Gasparini P, Shasha D, Ferro A et al..  2014.  miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs.. Nucleic Acids Res. 42(9):5416-25.
Da Hsu S-, Tseng Y-T, Shrestha S, Lin Y-L, Khaleel A, Chou C-H, Chu C-F, Huang H-Y, Lin C-M, Ho S-Y et al..  2014.  miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions.. Nucleic Acids Res. 42(Database issue):D78-85.
Seguin J, Otten P, Baerlocher L, Farinelli L, Pooggin MM.  2014.  MISIS: a bioinformatics tool to view and analyze maps of small RNAs derived from viruses and genomic loci generating multiple small RNAs.. J Virol Methods. 195:120-2.
Diao L, Marcais A, Norton S, Chen KC.  2014.  MixMir: microRNA motif discovery from gene expression data using mixed linear models.. Nucleic Acids Res. 42(17):e135.
Wang T, Chen B, Kim MS, Xie Y, Xiao G.  2014.  A model-based approach to identify binding sites in CLIP-Seq data.. PLoS One. 9(4):e93248.
Vincent M, Perell K, Nielsen FCilius, Daugaard G, Hansen NRichard.  2014.  Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases.. Bioinformatics. 30(10):1417-23.
Hach F, Sarrafi I, Hormozdiari F, Alkan C, Eichler EE, S Sahinalp C.  2014.  mrsFAST-Ultra: a compact, SNP-aware mapper for high performance sequencing applications.. Nucleic Acids Res. 42(Web Server issue):W494-500.
Deveci M, Catalyürek UV, Toland AEwart.  2014.  mrSNP: software to detect SNP effects on microRNA binding.. BMC Bioinformatics. 15:73.
Ru Y, Kechris KJ, Tabakoff B, Hoffman P, Radcliffe RA, Bowler R, Mahaffey S, Rossi S, Calin GA, Bemis L et al..  2014.  The multiMiR R package and database: integration of microRNA-target interactions along with their disease and drug associations.. Nucleic Acids Res. 42(17):e133.
An O, Pendino V, D'Antonio M, Ratti E, Gentilini M, Ciccarelli FD.  2014.  NCG 4.0: the network of cancer genes in the era of massive mutational screenings of cancer genomes.. Database (Oxford). 2014:bau015.
Alaimo S, Giugno R, Pulvirenti A.  2014.  ncPred: ncRNA-Disease Association Prediction through Tripartite Network-Based Inference.. Front Bioeng Biotechnol. 2:71.
Cun Y, Fröhlich H.  2014.  netClass: an R-package for network based, integrative biomarker signature discovery.. Bioinformatics. 30(9):1325-6.
Li L, Gao Q, Mao X, Cao Y.  2014.  New support vector machine-based method for microRNA target prediction.. Genet Mol Res. 13(2):4165-76.
Xie C, Yuan J, Li H, Li M, Zhao G, Bu D, Zhu W, Wu W, Chen R, Zhao Y.  2014.  NONCODEv4: exploring the world of long non-coding RNA genes.. Nucleic Acids Res. 42(Database issue):D98-103.
Yuan J, Wu W, Xie C, Zhao G, Zhao Y, Chen R.  2014.  NPInter v2.0: an updated database of ncRNA interactions.. Nucleic Acids Res. 42(Database issue):D104-8.
Verderio P, Bottelli S, Ciniselli CMaura, Pierotti MAlessandro, Gariboldi M, Pizzamiglio S.  2014.  NqA: an R-based algorithm for the normalization and analysis of microRNA quantitative real-time polymerase chain reaction data.. Anal Biochem. 461:7-9.
Henry VJ, Bandrowski AE, Pepin A-S, Gonzalez BJ, Desfeux A.  2014.  OMICtools: an informative directory for multi-omic data analysis.. Database (Oxford). 2014
Wang D, Gu J, Wang T, Ding Z.  2014.  OncomiRDB: a database for the experimentally verified oncogenic and tumor-suppressive microRNAs.. Bioinformatics. 30(15):2237-8.
Khurana R, Verma VKumar, Rawoof A, Tiwari S, Nair RA, Mahidhara G, Idris MM, Clarke AR, Kumar LDinesh.  2014.  OncomiRdbB: a comprehensive database of microRNAs and their targets in breast cancer.. BMC Bioinformatics. 15:15.
Madden SF, Clarke C, Stordal B, Carey MS, Broaddus R, Gallagher WM, Crown J, Mills GB, Hennessy BT.  2014.  OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets.. Mol Cancer. 13:241.
Thomas JKurian, Kim M-S, Balakrishnan L, Nanjappa V, Raju R, Marimuthu A, Radhakrishnan A, Muthusamy B, Khan AAhmad, Sakamuri S et al..  2014.  Pancreatic Cancer Database: an integrative resource for pancreatic cancer.. Cancer Biol Ther. 15(8):963-7.
Ullah AZDayem, Cutts RJ, Ghetia M, Gadaleta E, Hahn SA, Crnogorac-Jurcevic T, Lemoine NR, Chelala C.  2014.  The pancreatic expression database: recent extensions and updates.. Nucleic Acids Res. 42(Database issue):D944-9.
Zheng Y, Fei Z, Zhang W, Starren JB, Liu L, Baccarelli AA, Li Y, Hou L.  2014.  PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures.. Bioinformatics. 30(19):2802-7.

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