Protein Homology Detection Through Alignment of Markov Random Fields
| Autor: | Jinbo Xu, Sheng Wang, Jianzhu Ma |
|---|---|
| EAN: | 9783319149141 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 22.01.2015 |
| Untertitel: | Using MRFalign |
| Kategorie: | |
| Schlagworte: | Hidden Markov Model Long-Range Residue Interaction Markov Random Fields Position-Specific Scoring Matrix Protein Homology Detection |
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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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