BEYOND STRING ALGORITHMS: PROTEIN SEQUENCE ANALYSIS USING WAVELET TRANSFORMS

Arun Krishnan, Kuo Bin Li

研究成果: Chapter同行評審

2 引文 斯高帕斯(Scopus)

摘要

Wavelet transform is an efficient and fast method for capturing the hidden information from many different types of data. Recently there has been a growing interest in using wavelet transforms in the analysis of biological sequences and biology related signals. This review goes through several aspects of bioinformatics, especially those relevant to the functional studies of protein sequences. We focus on applications that use wavelet transforms as the main technology. The areas covered include motif search, sequence comparison, protein secondary structure prediction, detection of transmembrane proteins and hydrophobic cores, mass spectrometry and disease related applications.

原文English
主出版物標題Analysis of Biological Data
主出版物子標題A Soft Computing Approach
發行者World Scientific Publishing Co.
頁面109-131
頁數23
ISBN(電子)9789812708892
ISBN(列印)9789812707802
DOIs
出版狀態Published - 1 1月 2007

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