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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
Senior Honors Thesis. Advisor: Metin Akay.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
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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