@article{725340,
      recid = {725340},
      author = {Xu, Jinbo, and Wang, Sheng, and Ma, Jianzhu,},
      title = {Protein homology detection through alignment of Markov  random fields using MRFalign / [electronic resource] :},
      pages = {1 online resource (viii, 51 pages) :},
      abstract = {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.},
      url = {http://library.usi.edu/record/725340},
      doi = {https://doi.org/10.1007/978-3-319-14914-1},
}