蛋白质序列分析中不同小波结构(设计)的评价

2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628) Pub Date : 2002-11-07 DOI:10.1109/ICDSP.2002.1028288

I. Cosic, Q. Fang

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引用次数: 7

摘要

我们以前已经表明，数字信号处理方法，特别是小波可以用来分析氨基酸的线性序列，以揭示蛋白质的信息含量。此外，我们已经证明Morlet小波最适合于蛋白质序列内活性位点的鉴定。在这里，我们修改Morlet函数以优化其在蛋白质分析中的使用。

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Evaluation of different wavelet constructions (designs) for analysis of protein sequences

We have shown previously that digital signal processing methods and in particular wavelets can be used to analyze linear sequences of amino acids to reveal the informational content of proteins. In addition, we have shown that Morlet wavelets are the most suitable for the identification of active sites within the protein sequence. Here, we modify the Morlet function to optimise it for the use in protein analysis.

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2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)

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