Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign
Jinbo Xu, Sheng Wang, Jianzhu Ma (auth.)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.
Категорії:
Рік:
2015
Видання:
1
Видавництво:
Springer International Publishing
Мова:
english
Сторінки:
51
ISBN 10:
331914913X
ISBN 13:
9783319149134
Серії:
SpringerBriefs in Computer Science
Файл:
PDF, 2.63 MB
IPFS:
,
english, 2015
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