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http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57184
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DC Field | Value | Language |
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dc.contributor.author | Kihara, Daisuke, ed. | - |
dc.date.accessioned | 2020-09-05T14:05:50Z | - |
dc.date.available | 2020-09-05T14:05:50Z | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 978-1-4939-7015-5 | - |
dc.identifier.uri | http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57184 | - |
dc.description.abstract | This book begins by introducing two sequence-based function prediction methods, PFP and ESG, in Chapter 1. The chapter also describes a web server, NaviGO, which can analyze Gene Ontology annotations. Then, Chapters 2, 3, and 4 discuss tools suitable for the functional analysis of metagenomics data. The tools in these three chapters are based on sequence database searches faster than conventional homology search methods, a necessity when processing the large amounts of sequence data which typify metagenome sequences. Chapter 2 introduces GhostX, which uses a suffix array for fast sequence comparison. Fun4Me in Chapter 3 is a pipeline that combines protein coding gene detection in query sequences and a fast sequence database search utilizing a hashing technique. SUPERFOCUS in Chapter 4 combines fast search algorithms with preclustered reference sequence databases. In Chapter 5, we have MPFit, a program that detects when query proteins are moonlighting proteins, i.e., a protein with dual functions. | vi |
dc.language.iso | en_US | vi |
dc.publisher | Humana Press | vi |
dc.subject | Methods in Molecular Biology | vi |
dc.subject | Biochemistry | vi |
dc.subject | Molecular biology | vi |
dc.subject | Proteins | vi |
dc.title | Protein Function Prediction: Methods and Protocols | vi |
dc.type | Book | vi |
Appears in Collections: | Biology |
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