MagiCMicroRna: A web implementation of AgiMicroRna using shiny

Source Code for Biology and Medicine

Volumn 10, Issue 1, 2015, Pages

  Coonen, Maarten ^a   Theunissen, Daniel ^a   Kleinjans, Jos ^a   Jennen, Danyel ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Agilent; Data analysis; Microarray analysis; MicroRNA; Web interface

Indexed keywords

EID: 84926304542     PISSN: None     EISSN: 17510473     Source Type: Journal    
DOI: 10.1186/s13029-015-0035-5     Document Type: Article

References (7)

1. Lopez-Romero P. Pre-processing and differential expression analysis of Agilent microRNA arrays using the AgiMicroRna Bioconductor library. BMC Genomics. 2011;12:64.
2. Lopez-Romero P, Gonzalez MA, Callejas S, Dopazo A, Irizarry RA. Processing of Agilent microRNA array data. BMC Res Notes. 2010;3:18.
3. Shiny. Web application framework for R. R package version 0.9.1. [ http://CRAN.R-project.org/package=shiny ]
4. Navon R, Wang H, Steinfeld I, Tsalenko A, Ben-Dor A, Yakhini Z. Novel rank-based statistical methods reveal microRNAs with differential expression in multiple cancer types. PLoS One. 2009;4:e8003.
5. Krauskopf J, Caiment F, Claessen SM, Johnson KJ, Warner RL, Schomaker SJ, et al. Application of high-throughput sequencing to circulating microRNAs reveals novel biomarkers for drug-induced liver injury. Toxicol Sci. 2015;143:268-76.
6. Yang Q, Wang Y, Lu X, Zhao Z, Zhu L, Chen S, et al. MiR-125b regulates epithelial-mesenchymal transition via targeting Sema4C in paclitaxel-resistant breast cancer cells. Oncotarget. 2015;6:3268-79.
7. Spiekermann M, Belge G, Winter N, Ikogho R, Balks T, Bullerdiek J, et al. MicroRNA miR-371a-3p in serum of patients with germ cell tumours: evaluations for establishing a serum biomarker. Andrology. 2015;3:78-84.