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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.

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   Kobby Essien, "Analysis of Protein Sequences Using Time Frequency and Kolmogorov-Smirnov Methods." Dartmouth Computer Science Technical Report TR2002-431, May 2002.

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