DocumentCode :
2341165
Title :
PheGe, the platform for exploring genotype-phenotype relations on cellular and organism level
Author :
Seidl, Klaus
Author_Institution :
German Res. Centre for Biotechnol., Braunschweig, Germany
fYear :
2002
fDate :
2002
Firstpage :
79
Lastpage :
86
Abstract :
One major challenge of bioinformatics is to extract biological information into a form that gives access to analyses and predictive models and that sheds new light on cellular and organism function. In order to approach automated network analysis on organism level the relational platform PheGe was generated. PheGe enables (a) presentation of cell-specific regulatory and metabolic pathways, (b) sorting and coordination of the various molecules, genes and reactions to their particular signaling systems, (c) visualization of signaling par distance, (d) organization of downstream events on a multicellular level, (e) recording and evaluation of pathological relevant data, (f) coordination of the aberrant genes and gene products into the various regulatory pathways balancing phenotypic patterns (g) modeling of cellular differentiation and finally (h) tracing of network components that balance differentiation programs.
Keywords :
biology computing; data visualisation; genetics; PheGe; aberrant gene coordination; automated network analysis; cell-specific metabolic pathways; cell-specific regulatory pathways; cellular differentiation; cellular function; downstream event organization; gene coordination; gene product coordination; gene sorting; genotype-phenotype relations; molecule coordination; molecule sorting; multicellular organization; network component tracing; organism function; pathological data evaluation; pathological data recording; phenotypic patterns; reaction coordination; reaction sorting; signaling visualization; Bioinformatics; Cellular networks; Communication system signaling; Data mining; Data visualization; Information analysis; Organisms; Pathology; Predictive models; Sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics Conference, 2002. Proceedings. IEEE Computer Society
Print_ISBN :
0-7695-1653-X
Type :
conf
DOI :
10.1109/CSB.2002.1039331
Filename :
1039331
Link To Document :
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