Protein Homology Detection Through Alignment of Markov Random Fields

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) b...

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Những tác giả chính:	Xu, Jinbo, Wang, Sheng, Ma, Jianzhu
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Markov random fields Bioinformatics Sequence alignment
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57977
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id	oai:scholar.dlu.edu.vn:DLU123456789-57977
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-579772023-11-11T05:53:42Z Protein Homology Detection Through Alignment of Markov Random Fields Xu, Jinbo Wang, Sheng Ma, Jianzhu Markov random fields Bioinformatics Sequence alignment 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. 2015-09-04T02:56:47Z 2015-09-04T02:56:47Z 2015 Book 978-3-319-14914-1 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57977 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Markov random fields Bioinformatics Sequence alignment
spellingShingle	Markov random fields Bioinformatics Sequence alignment Xu, Jinbo Wang, Sheng Ma, Jianzhu Protein Homology Detection Through Alignment of Markov Random Fields
description	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.
format	Book
author	Xu, Jinbo Wang, Sheng Ma, Jianzhu
author_facet	Xu, Jinbo Wang, Sheng Ma, Jianzhu
author_sort	Xu, Jinbo
title	Protein Homology Detection Through Alignment of Markov Random Fields
title_short	Protein Homology Detection Through Alignment of Markov Random Fields
title_full	Protein Homology Detection Through Alignment of Markov Random Fields
title_fullStr	Protein Homology Detection Through Alignment of Markov Random Fields
title_full_unstemmed	Protein Homology Detection Through Alignment of Markov Random Fields
title_sort	protein homology detection through alignment of markov random fields
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57977
_version_	1819828786715164672

Protein Homology Detection Through Alignment of Markov Random Fields

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