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New Algorithm for Aligning Biological Data

  • Wajih RhalemEmail author
  • Mourad Raji
  • Ahmed Hammouch
  • Hassan Ghazal
  • Jamel El Mhamdi
Conference paper
  • 116 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1076)

Abstract

The change in data processing conditions obtained from biological experiments, in particular, SHAPE (Selective 2′-Hydroxyl Acylation analyzed by the Extension Primer) technique, results in the time shift of the data which are in the form of signals. In this study, a SHAPE data alignment algorithm is proposed using a new pattern recognition approach based on the discrete-to-continuous transition of entities. The advantage of our algorithm lies in the ability to process the information concerned with a logarithmic complexity, therefore, powerful results have been obtained.

Keywords

Time series Signal alignment SHAPE data Logarithmic complexity SHAPEfinder 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Wajih Rhalem
    • 1
    Email author
  • Mourad Raji
    • 1
  • Ahmed Hammouch
    • 2
  • Hassan Ghazal
    • 3
  • Jamel El Mhamdi
    • 1
  1. 1.LRGE LaboratoryENSET Mohammed V UniversityRabatMorocco
  2. 2.Direction of Scientific Research and InnovationMinistry of Higher EducationRabatMorocco
  3. 3.National Center for Scientific and Technical Research (CNRST)RabatMorocco

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