Title :
Threshold Logic Gene Regulatory Networks
Author :
Gowda, Tejaswi ; Leshner, Samuel ; Vrudhula, Sarma ; Kim, Seungchan
Author_Institution :
Arizona State Univ., Tempe
Abstract :
Gene regulation is an important modeling problem in biology. The deluge of data generated by improved techniques of gene sequencing will not be of much use until we develop accurate and efficient gene regulatory network (GRN) models. In this paper a novel threshold logic gene regulatory model is proposed. This model has been demonstrated to be powerful enough to explain gene interaction and cellular processes. A novel programmable hardware implementation to speed up the gene network simulation is presented. Some insights into the extension of this model are provided.
Keywords :
biochemistry; biology computing; cellular biophysics; genetics; molecular biophysics; molecular configurations; physiological models; cellular processes; gene interaction; gene network simulation; gene sequencing; programmable hardware; threshold logic gene regulatory networks; Bioinformatics; Biological system modeling; Biology computing; Boolean functions; Computational biology; Genomics; Hardware; Logic; Power system modeling; Tellurium;
Conference_Titel :
Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on
Conference_Location :
Tuusula
Print_ISBN :
978-1-4244-0998-3
Electronic_ISBN :
978-1-4244-0999-0
DOI :
10.1109/GENSIPS.2007.4365826