BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR2002-431
ENTRY:: May 30, 2002
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: Analysis of Protein Sequences Using Time Frequency and  Kolmogorov-Smirnov Methods
TYPE:: Technical Report (paper)
REVISION:: 3
AUTHOR:: Essien, Kobby
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR2002-431.ps.Z
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR2002-431.pdf
DATE:: May 2002
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>
END:: ncstrl.dartmouthcs//TR2002-431