Protein Homology Detection Through Alignment of Markov Random Fields Using MRFalign
tarafından
Xu, Jinbo. author.
Başlık
:
Protein Homology Detection Through Alignment of Markov Random Fields Using MRFalign
Yazar
:
Xu, Jinbo. author.
ISBN
:
9783319149141
Yazar
:
Xu, Jinbo. author.
Fiziksel Niteleme
:
VIII, 51 p. 13 illus., 1 illus. in color. online resource.
Seri
:
SpringerBriefs in Computer Science,
İçindekiler
:
Introduction -- Method -- Software -- Experiments and Results -- Conclusion.
Özet
:
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.
Konu Başlığı
:
Computer science.
Mathematical statistics.
Bioinformatics.
Statistics.
Computational Biology/Bioinformatics.
Probability and Statistics in Computer Science.
Statistics for Life Sciences, Medicine, Health Sciences.
Yazar Ek Girişi
:
Wang, Sheng.
Ma, Jianzhu.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 22300-1001 | QH324.2 -324.25 | Springer E-Book Collection |