| 書(shū)目名稱 | Yeast Systems Biology | | 副標(biāo)題 | Methods and Protocol | | 編輯 | Stephen G. Oliver,Juan I. Castrillo | | 視頻video | http://file.papertrans.cn/1061/1060306/1060306.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(shū)名稱 | Methods in Molecular Biology | | 圖書(shū)封面 |  | | 描述 | .This second edition volume expands on the previous edition with a look at the latest advances in techniques to study yeast and its core set of interactions, modules, architectures, and network dynamics that are common in all eukaryotes. The chapters in this book are organized into Four Parts: Part One provides readers with an update on the development of novel experimental and computational approaches to yeast systems biology; Part Two explores high-throughput methods used to study yeast epigenome, transcriptome, proteome, and metabolome; Part Three talks about computational systems biology, and focuses on data management, dynamic modeling, constraint-based models of metabolic networks, and multi-level ‘omics data; while Part Four looks at experimental platforms that utilize yeast to model systemic human diseases such as Alzheimer’s and Parkinson’s diseases. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics; lists of the necessary materials and reagents; step-by-step, readily reproducible laboratory protocols; and tips on troubleshooting and avoiding known pitfalls..Cutting-edge and comprehensiv | | 出版日期 | Book 2019Latest edition | | 關(guān)鍵詞 | Epigenetics; Nucleosome maps; ChIP-chip; Single-Cell RNA-Seq; RNA-splicing; Systems Biology | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4939-9736-7 | | isbn_softcover | 978-1-4939-9738-1 | | isbn_ebook | 978-1-4939-9736-7Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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