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Applications of Signal Processing in Genomic Research Zafer Aydin and Yucel Altunbasak
 

Summary: Applications of Signal Processing in Genomic Research
Zafer Aydin and Yucel Altunbasak
School of Electrical and Computer Engineering
Georgia Institute of Technology
Atlanta, GA 30332-0250
E-mail:{aydinz,yucel}@ece.gatech.edu
October 10, 2005
1 INTRODUCTION
Bioinformatics is the the use of computational techniques to understand and organize information associ-
ated with biomolecules. These biomolecules include genetic materials such as nucleic acids and proteins.
Ongoing research is generating huge amounts of information about these biomolecules at a phenomenal
rate. This requires efficient techniques and methodologies to organize, analyze and interpret the results
in a biologically meaningful manner. The high variability in the data acquisition process, the high dimen-
sionality of the data space, and the high complexity of genetic signals call for sophisticated mathematical
modelling, data processing, and information extraction methods [1].
DNA is a molecule of two helical strands where each strand is a long string of nucleotide units attached
to one another. DNA contains 4 types of nucleotides (A,T,G,C) and can be represented by a string of
characters. Coded in the DNA are instructions necessary for a cell's proper functioning. Those instructions
are stored in specific units called genes. When a particular instruction becomes active, the corresponding
gene is said to turn on or be expressed. Following the expression of a particular gene, the corresponding

  

Source: Aydin, Zafer - Department of Genome Sciences, University of Washington at Seattle

 

Collections: Biology and Medicine