Title :
An innovative Positional Pattern Detection tool applied to GAL4 Binding Sites in yeast
Author :
Sichtig, Heike ; Riva, Alberto
Author_Institution :
Dept. of Mol. Genetics & Microbiol., Univ. of Florida, Gainesville, FL, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
The computational identification of regulatory elements in genomic DNA is key to understanding the regulatory infrastructure of a cell. We present an innovative tool to identify Transcription Factor Binding Sites (TFBSs) in genomic sequences. We show that our Positional Pattern Detection tool is able to attain high sensitivity and specificity of TFBS detection by capturing dependencies between nucleotide positions within the TFBS, thereby elucidating complex interactions that may be critical for the TFBS activity.
Keywords :
biology computing; genetic algorithms; genomics; learning (artificial intelligence); neural nets; pattern recognition; GAL4 yeast binding site; genetic algorithm; genomic DNA; genomic sequence; neural network training; pattern recognition; positional pattern detection tool; spiking neural networks; transcription factor binding sites; Biological cells; Biological neural networks; Delay; Genetic algorithms; Neurons; Pulse width modulation; Training;
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-9635-8
DOI :
10.1109/IJCNN.2011.6033538
