• DocumentCode
    2681852
  • Title

    Simple alignment constraints for efficient alignment of RNA sequences using family-specific models

  • Author

    Yoon, Byung-Jun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2009
  • fDate
    17-21 May 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this extended abstract, we present a simple method for finding alignment constraints that can be used for efficient alignment of RNAs based on family-specific models, such as profile context-sensitive HMMs (profile-csHMMs) and covariance models (CMs). The alignment constraints are established based on the alignment positions predicted by a profile-HMM. Application of the proposed constraints to the profile-csHMM based structural RNA alignment method significantly improved the average alignment speed without degrading the alignment accuracy.
  • Keywords
    covariance analysis; hidden Markov models; macromolecules; molecular biophysics; organic compounds; RNA sequence; covariance model; family-specific model; hidden Markov model; profile context-sensitive HMM; structural RNA alignment method; Collision mitigation; Computational efficiency; Context modeling; Databases; Degradation; Hidden Markov models; Prediction algorithms; Predictive models; RNA; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-4761-9
  • Electronic_ISBN
    978-1-4244-4762-6
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2009.5174323
  • Filename
    5174323