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    3. Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign

    Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign

    Posted By: enmoys
    Date: 1 Mar 2015 11:09:59
    Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign

    Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign By Jinbo Xu, Sheng Wang, Jianzhu Ma
    2015 | 60 Pages | ISBN: 331914913X | PDF | 3 MB


    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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