TY - GEN
T1 - Fourier and Spectral Envelope Analysis of Medically Important Bacterial and Fungal Sequences
AU - Chan, Katie K. H.
AU - Chang, Chunqi
AU - Chan, Francis H. Y.
PY - 2004/7
Y1 - 2004/7
N2 - In this paper, we introduce the Fourier and spectral envelope analysis methods to analyze some biomolecular sequences, particularly medically important bacteria and fungi DNA sequences, to get their interesting frequency properties. Fourier analysis includes mapping character strings into numerical sequences, calculating spectra of DNA sequences and setting and solving optimization problem in order to construct a powerful predictor of exons along the long DNA sequences. The spectral envelope analysis makes use of spectral envelope for analyzing periodicities in categorical-valued time series and it is useful for the scaling of non-numeric sequences. The spectral envelope analysis utilizes optimization procedure to improve upon traditional analysis performance in distinguishing coding from non-coding regions in DNA sequences. The two approaches greatly facilitate the understanding of local nature, structure and function of biomolecular sequences. They also provide useful techniques to combine bioinformatics analysis with modern computer power to quickly search for diagnostic patterns within long sequences.
AB - In this paper, we introduce the Fourier and spectral envelope analysis methods to analyze some biomolecular sequences, particularly medically important bacteria and fungi DNA sequences, to get their interesting frequency properties. Fourier analysis includes mapping character strings into numerical sequences, calculating spectra of DNA sequences and setting and solving optimization problem in order to construct a powerful predictor of exons along the long DNA sequences. The spectral envelope analysis makes use of spectral envelope for analyzing periodicities in categorical-valued time series and it is useful for the scaling of non-numeric sequences. The spectral envelope analysis utilizes optimization procedure to improve upon traditional analysis performance in distinguishing coding from non-coding regions in DNA sequences. The two approaches greatly facilitate the understanding of local nature, structure and function of biomolecular sequences. They also provide useful techniques to combine bioinformatics analysis with modern computer power to quickly search for diagnostic patterns within long sequences.
KW - DNA sequences
KW - Fourier analysis
KW - Frequency analysis
KW - Spectral envelope analysis
UR - http://www.scopus.com/inward/record.url?scp=11144350514&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-11144350514&origin=recordpage
U2 - 10.1109/mwscas.2004.1354320
DO - 10.1109/mwscas.2004.1354320
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 078038346X
VL - 3
SP - 175
EP - 178
BT - MWSCAS 2004 - The 2004 47th Midwest Symposium on Circuits and Systems
T2 - 2004 47th Midwest Symposium on Circuits and Systems (MWSCAS 2004)
Y2 - 25 July 2004 through 28 July 2004
ER -