DocumentCode :
2523464
Title :
SYSTEMATIC DESCRIPTION OF SUBCELLULAR LOCATION FOR INTEGRATION WITH PROTEOMICS DATABASES AND SYSTEMS BIOLOGY MODELING
Author :
Murphy, R.F.
Author_Institution :
Dept. of Biol. Sci., Biomed. Eng., & Machine Learning, Carnegie Mellon Univ., Pittsburgh, PA
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
1052
Lastpage :
1055
Abstract :
Approaches for automatically analyzing subcellular location on a proteome-wide basis have been developed. This permits proteins to be grouped into subcellular location families that share a statistically-indistinguishable pattern. This in turn creates a need for methods to connect these automatically determined locations to existing information in literature and databases, and to communicate the nature of the pattern for each family. The building of generative models is proposed to meet this need and their utility for simulations of cell behavior is discussed.
Keywords :
biology computing; cellular biophysics; molecular biophysics; proteins; generative models; proteins; proteomics; subcellular location; systems biology modeling; Bioinformatics; Biological system modeling; Databases; Fluorescence; Genomics; Microscopy; Proteins; Proteomics; Systematics; Systems biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.357036
Filename :
4193470
Link To Document :
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