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Titlebook: Gene Function Analysis; Michael F. Ochs Book 2014Latest edition Springer Science+Business Media, LLC 2014 functional genomic analysis.gene

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發(fā)表于 2025-3-21 18:38:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Gene Function Analysis
編輯Michael F. Ochs
視頻videohttp://file.papertrans.cn/382/381931/381931.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: Gene Function Analysis;  Michael F. Ochs Book 2014Latest edition Springer Science+Business Media, LLC 2014 functional genomic analysis.gene
描述.The determination of protein function has been a major goal of molecular biology since the founding of the discipline. However, as we learn more about gene function, we discover that the context within which a gene is expressed controls the specific function of that gene. It has become critical to establish the background in which gene function is determined and to perform experiments in multiple applicable backgrounds.?In .Gene Function Analysis, Second Edition., a number of computational and experimental techniques are presented for identifying not only the function of an individual gene, but also the partners that work with that gene. The theme of data integration runs strongly through the computational techniques, with many focusing on gathering data from different sources and different biomolecular types. Experimental techniques have evolved to determine function in specific tissues and at specific times during development. Written in the 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 protocols, and notes on troubleshooting and a
出版日期Book 2014Latest edition
關(guān)鍵詞functional genomic analysis; gene expression; gene function; signaling network; transcription gene netwo
版次2
doihttps://doi.org/10.1007/978-1-62703-721-1
isbn_softcover978-1-4939-6063-7
isbn_ebook978-1-62703-721-1Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC 2014
The information of publication is updating

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ng genes, gene products, polymorphisms, and other genomic features with biological characteristics or processes. There is tremendous utility and value in using these data in an integrative fashion to find convergent evidence for the role of genes in various processes, to identify functionally simila
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Concept of State-Directed Economyondition or cancer patient outcome. However, such signatures show dependency on training set, lack of generalization, and instability, partly due to microarray data topology. Additional issues for analyzing tumor gene expression are that subtle molecular perturbations in driver genes leading to canc
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