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.
Produkteigenschaften
- Artikelnummer: 9783319149134
- Medium: Buch
- ISBN: 978-3-319-14913-4
- Verlag: Springer International Publishing
- Erscheinungstermin: 03.03.2015
- Sprache(n): Englisch
- Auflage: 2015
- Serie: SpringerBriefs in Computer Science
- Produktform: Kartoniert
- Gewicht: 1175 g
- Seiten: 51
- Format (B x H x T): 155 x 235 x 4 mm
- Ausgabetyp: Kein, Unbekannt