Please use this identifier to cite or link to this item: http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57184
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dc.contributor.authorKihara, Daisuke, ed.-
dc.date.accessioned2020-09-05T14:05:50Z-
dc.date.available2020-09-05T14:05:50Z-
dc.date.issued2017-
dc.identifier.isbn978-1-4939-7015-5-
dc.identifier.urihttp://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57184-
dc.description.abstractThis 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.isoen_USvi
dc.publisherHumana Pressvi
dc.subjectMethods in Molecular Biologyvi
dc.subjectBiochemistryvi
dc.subjectMolecular biologyvi
dc.subjectProteinsvi
dc.titleProtein Function Prediction: Methods and Protocolsvi
dc.typeBookvi
Appears in Collections:Biology

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