书目名称 | Protein Homology Detection Through Alignment of Markov Random Fields |
副标题 | Using MRFalign |
编辑 | Jinbo Xu,Sheng Wang,Jianzhu Ma |
视频video | |
概述 | Surveys the key topics to aid the reader in quickly learning about this area.Presents a novel technique for protein homology search, preparing the reader for future developments.Provides an introducti |
丛书名称 | SpringerBriefs in Computer Science |
图书封面 |  |
描述 | 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. |
出版日期 | Book 2015 |
关键词 | Hidden Markov Model; Long-Range Residue Interaction; Markov Random Fields; Position-Specific Scoring Ma |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-14914-1 |
isbn_softcover | 978-3-319-14913-4 |
isbn_ebook | 978-3-319-14914-1Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
issn_series | 2191-5768 |
copyright | The Author(s) 2015 |