Title :
EGOMiner: a comprehensive genomics and proteomics data analysis and biological function interpretation system
Author :
Feng, Weimin ; Henning, Peter ; Wang, May D.
Author_Institution :
Wallace H.Coulter Dept. of Biomed. Eng., Emory Univ., 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 :
biology computing; data analysis; data mining; data visualisation; distributed object management; genetics; graph theory; macromolecules; molecular biophysics; ontologies (artificial intelligence); proteins; statistical analysis; CORBA based tool; EGOMiner; GoMiner system; biological data interpretation; biological function interpretation; data visualization; direct acyclic graph; enhanced gene ontology mining system; genomics data analysis; microarray chip image quality analysis; proteomics data analysis; quantitative analysis; statistical analysis; Application software; Bioinformatics; Computer architecture; Data analysis; Databases; Genomics; Logic; Ontologies; Proteomics; Statistical analysis; microarray gene expression analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403802
