Wavelets in bioinformatics and computational biology: state of art and perspectives

@article{Li2003WaveletsIB,
  title={Wavelets in bioinformatics and computational biology: state of art and perspectives},
  author={Pietro Li{\`o}},
  journal={Bioinformatics},
  year={2003},
  volume={19 1},
  pages={2-9}
}
MOTIVATION At a recent meeting, the wavelet transform was depicted as a small child kicking back at its father, the Fourier transform. Wavelets are more efficient and faster than Fourier methods in capturing the essence of data. Nowadays there is a growing interest in using wavelets in the analysis of biological sequences and molecular biology-related signals. RESULTS This review is intended to summarize the potential of state of the art wavelets, and in particular wavelet statistical… CONTINUE READING

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