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Titlebook: Protein-Protein Interaction Networks; Methods and Protocol Stefan Canzar,Francisca Rojas Ringeling Book 2020 Springer Science+Business Medi

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書目名稱Protein-Protein Interaction Networks
副標(biāo)題Methods and Protocol
編輯Stefan Canzar,Francisca Rojas Ringeling
視頻videohttp://file.papertrans.cn/762/761811/761811.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Protein-Protein Interaction Networks; Methods and Protocol Stefan Canzar,Francisca Rojas Ringeling Book 2020 Springer Science+Business Medi
描述.This volume explores techniques that study interactions between proteins in different species, and combines them with context-specific data, analysis of omics datasets, and assembles individual interactions into higher-order semantic units, i.e., protein complexes and functional modules. The chapters in this book cover computational methods that solve diverse tasks such as the prediction of functional protein-protein interactions; the alignment-based comparison of interaction networks by .SANA.; using the .RaptorX-ComplexContact. webserver to predict inter-protein residue-residue contacts; the docking of alternative confirmations of proteins participating in binary interactions and the visually-guided selection of a docking model using .COZOID.; the detection of novel functional units by .KeyPathwayMiner. and how .PathClass. can use such de novo pathways to classify breast cancer subtypes. Written in the highly successful .Methods in Molecular Biology.series format, chapters include introductions to their respective topics, lists of the necessary hardware- and software, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfa
出版日期Book 2020
關(guān)鍵詞Y2H data; clustering; dynamic networks; protein complexes; topology-based approaches
版次1
doihttps://doi.org/10.1007/978-1-4939-9873-9
isbn_softcover978-1-4939-9875-3
isbn_ebook978-1-4939-9873-9Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2020
The information of publication is updating

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