Jinbo Xu & Sheng Wang 
Protein Homology Detection Through Alignment of Markov Random Fields [PDF ebook] 
Using MRFalign

Sokongan

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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Jadual kandungan

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

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Bahasa Inggeris ● Format PDF ● Halaman-halaman 51 ● ISBN 9783319149141 ● Saiz fail 2.8 MB ● Penerbit Springer International Publishing ● Bandar raya Cham ● Negara CH ● Diterbitkan 2015 ● Muat turun 24 bulan ● Mata wang EUR ● ID 5234167 ● Salin perlindungan Social DRM

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