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A New Approach for Identifying Protein-Coding Regions by Combining Chirp z and Wavelet Transform.

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Identifying protein coding regions of DNA sequences is an important step in gene annotation. It is well-known that the protein coding regions of most genomic sequences exhibit a period-3 pattern due to non-uniform distribution of codons. In order to identify protein coding regions more efficiently, a new identification approach was proposed by combining chirp z transform and wavelet transform based on period-3 property. The identification method was applied to 17 DNA sequences of different organisms and achieved a high sensitivity (>80%) in all sequences. Demanding no prior training sets, the approach is fast and could potentially be used widely and conveniently.
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Keywords: Chirp z transform; fourier transform; identification; period-3 pattern; protein-coding regions; wavelet transform

Document Type: Research Article

Publication date: November 1, 2013

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  • Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

    The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.

    Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.
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