Protein Homology Detection Through Alignment Of Markov Random Fields

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    Protein Homology Detection Through Alignment of Markov Random Fields
    Using MRFalign
    By: Jinbo Xu; Sheng Wang; Jianzhu Ma
    Publisher:
    Springer
    Print ISBN: 9783319149134, 331914913X
    eText ISBN: 9783319149141, 3319149148
    Copyright year: 2015
    Format: PDF
    Available from $ 69.99 USD
    SKU 9783319149141
    This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.
     

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