Analysis of Protein Sequences Using Time Frequency and  Kolmogorov-Smirnov Methods

Dartmouth Technical Report TR2002-431

	Kobby Essien

Date: May 2002

URL (compressed postscript): <http://www.cs.dartmouth.edu/reports/TR2002-431.ps.Z> (7216KB)

URL (PDF): <http://www.cs.dartmouth.edu/reports/TR2002-431.pdf> (8356KB)

Abstract:
 The plethora of genomic data currently available has resulted in a 
 search for new algorithms and analysis techniques to interpret 
 genomic data.  In this two-fold study we explore techniques for 
 locating critical amino acid residues in protein sequences and for 
 estimating the similarity between proteins.  We demonstrate the use 
 of the Short-Time Fourier Transform and the Continuous Wavelet 
 Transform together with amino acid hydrophobicity in locating 
 important amino acid domains in proteins and also show that the 
 Kolmogorov-Smirnov statistic can be used as a metric of protein 
 similarity.

Note:
 Senior Honors Thesis.  Advisor: Metin Akay.<br>