Protein Homology Detection Through Alignment of Markov Random Fields

TRAMA

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.

SOMMARIO

Introduction.- Method.- Software.- Experiments and Results.- Conclusion.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783319149134
• Collana: SpringerBriefs in Computer Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: VIII, 51 p. 13 illus., 1 illus. in color.
• Pagine Arabe: 51
• Pagine Romane: viii