Title :
EGOMiner: a genomics and proteomics data computation and interpretation system for biomedical applications
Author :
Feng, Weimin ; Tuteja, Gaurav ; Wang, May D.
Author_Institution :
Wallace H. Coulter Dept. of Biomedical Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
EGOMiner, stands for enhanced gene ontology mining system, is a CORBA based tool developed for genomic and proteomic data analysis. One key function of EGOMiner is to provide biological data interpretation based on gene ontology with quantitative and statistical analysis and visualization by direct acyclic graph. Cross comparison of multiple experimental studies is supported. The other function is quality analysis of microarray chip images. The input is raw chip data and output is visualization of the data quality of the chip image. This is system significantly improves the GoMiner system that was designed and developed by the authors.
Keywords :
data mining; data visualisation; distributed object management; genetics; medical computing; medical image processing; molecular biophysics; proteins; statistical analysis; CORBA based tool; EGOMiner; GoMiner system; biological data computation; biological data interpretation; biomedical applications; data analysis; direct acyclic graph; enhanced gene ontology mining system; genomics; microarray chip images; proteomics; statistical analysis; visualization; Bioinformatics; Biology computing; Biomedical computing; Data analysis; Data visualization; Genomics; Image analysis; Ontologies; Proteomics; Statistical analysis;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
Print_ISBN :
0-7695-2194-0
DOI :
10.1109/CSB.2004.1332496
