Title :
Analysis of gene co-expression in Arabidopsis anther
Author :
Huang, JiFeng ; FengLi Shi ; Shi, FengLi
Author_Institution :
Dept. of Comput., Sci. & Technol., Shanghai Normal Univ., Shanghai, China
Abstract :
Research on gene co-expression not only plays an important role in understanding the complex regulatory relationships, it also contributes to our understanding of gene regulatory networks. In this study, based on ATTED-II database, we identified the Arabidopsis anther genes, and then constructed the co-expressed networks for every anther genes, finally, mined the co-expressed data from these co-expressed networks with Maximum-clique algorithm. Furthermore the expression of each Arabidopsis anther gene was systematically analyzed, which may facilitate further investigation of the molecular mechanisms of anther and transcription regulation. Experimental results on extracting co-expressed genes from Arabidopsis anther demonstrate that the method proposed in the study exhibits good performance.
Keywords :
genetics; molecular biophysics; ATTED-II database; Arabidopsis anther; anther genes; complex regulatory relationships; gene co-expression analysis; gene regulatory networks; maximum-clique algorithm; molecular mechanisms; transcription regulation; Biochemistry; Bioinformatics; Data mining; Databases; Gene expression; Genomics;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639296