DocumentCode
2889806
Title
imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis thaliana
Author
Ding, Jiandong ; Yu, Shusi ; Ohler, Uwe ; Guan, Jihong ; Zhou, Shuigeng
Author_Institution
Shanghai Key Lab. of Intell. Inf. Process., Fudan Univ., Shanghai, China
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
100
Lastpage
104
Abstract
MiRNA are about 22nt long small noncoding RNAs that post transcriptionally regulate gene expression in animals, plants and protozoa. Confident identification of MiRNA-Target Interactions (MTI) is vital to understand their function. Currently, several integrated programs and databases are available for animal miRNAs, the mechanisms of which are significantly different from plant miRNAs. Here we present imiRTP, an integrated MTI prediction and analysis toolkit for Arabidopsis thaliana. It features two important functions: (i) combination of several effective plant miRNA target prediction methods provides a sufficiently large MTI candidate set, and (ii) different filters allow for an efficient selection of potential targets. The modularity of imiRTP enables the prediction of high quality targets on genome-wide scale.
Keywords
biology computing; data analysis; genetics; Arabidopsis thaliana; MTI analysis; MTI prediction; animal miRNA; gene expression; genome-wide prediction; imiRTP method; miRNA-target interaction identification; plant miRNA target prediction method; Animals; Bioinformatics; Databases; Educational institutions; Genomics; Prediction methods; RNA; Arabidoposis thaliana; integrat; miRNA; microRNA; target prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1799-4
Type
conf
DOI
10.1109/BIBM.2011.13
Filename
6120415
Link To Document