One of the central themes in bioinformatics and computational biology is the interpretation of function from DNA sequence. Considerable time and effort has been put into developing software for understanding the complex organization of the genetic code. I will review some of the algorithms researchers are using to model DNA sequences and discuss alternative ways of understanding DNA based on its "fractal-like" qualities.
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Jim Golden received his Ph.D. in Mechanical Engineering from Vanderbilt University in 1995. His dissertation was titled "Adaptive Approximation and Optimization of Transform Functions." The central thesis of this work was in designing a neural network based base-caller for automated DNA sequencers. Jim received his Masters degree in computer science from the University of Tennessee Space Institute in 1990 where he studied artificial intelligence. He is currently the Coordinator for Bioinformatics and Computational Biology at Pioneer Hi-Bred. Jim is also a Captain in the US Air Force Reserves where he is on the staff of the Air Force Test Pilot School.