Protein Homology Detection Through Alignment of Markov Random Fields (Record no. 57687)
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fixed length control field | 02682nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-14914-1 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112226.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 150122s2015 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319149141 |
-- | 978-3-319-14914-1 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 570.285 |
100 1# - AUTHOR NAME | |
Author | Xu, Jinbo. |
245 10 - TITLE STATEMENT | |
Title | Protein Homology Detection Through Alignment of Markov Random Fields |
Sub Title | Using MRFalign / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | VIII, 51 p. 13 illus., 1 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Method -- Software -- Experiments and Results -- Conclusion. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Wang, Sheng. |
700 1# - AUTHOR 2 | |
Author 2 | Ma, Jianzhu. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-14914-1 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2015. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical statistics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Bioinformatics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Biology/Bioinformatics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probability and Statistics in Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Bioinformatics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Statistics for Life Sciences, Medicine, Health Sciences. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-5768 |
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