DocumentCode :
2638320
Title :
From Bio-inspired Computing to E-Biology
Author :
Perrin, Dimitri ; Ruskin, Heather J.
Author_Institution :
Centre for Sci. Comput. & Complex Syst. Modelling, Dublin City Univ., Dublin, Ireland
fYear :
2009
fDate :
19-22 Jan. 2009
Firstpage :
111
Lastpage :
118
Abstract :
Several algorithms and techniques widely used in Computer Science have been adapted from, or inspired by, known biological phenomena. This is a consequence of the multidisciplinary background of most early computer scientists. The field has now matured, and permits development of tools and collaborative frameworks which play a vital role in advancing current biomedical research. In this paper, we briefly present examples of the former, and elaborate upon two of the latter, applied to immunological modelling and as a new paradigm in gene expression.
Keywords :
biology computing; genetics; groupware; bio-inspired computing; biological phenomena; collaborative frameworks; computer science; e-biology; gene expression; immunological modelling; Application software; Biological system modeling; Biology computing; Biomedical computing; Computer science; DNA; Gene expression; Genetic algorithms; Physics; Sequences; Bio-inspired Computing; Computational Biology; Parallel Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Creating, Connecting and Collaborating through Computing, 2009. C5 '09. Seventh International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-0-7695-3620-0
Type :
conf
DOI :
10.1109/C5.2009.23
Filename :
5350252
Link To Document :
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