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Titlebook: Genome Refactoring; Natalie Kuldell,Neal Lerner Book 2009 Springer Nature Switzerland AG 2009

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書目名稱Genome Refactoring
編輯Natalie Kuldell,Neal Lerner
視頻videohttp://file.papertrans.cn/383/382853/382853.mp4
叢書名稱Synthesis Lectures on Synthetic Biology
圖書封面Titlebook: Genome Refactoring;  Natalie Kuldell,Neal Lerner Book 2009 Springer Nature Switzerland AG 2009
描述The science of biology celebrates the discovery and understanding of biological systems that already exist in nature. In parallel, the engineering of biology must learn how to make use of our understanding of the natural world to design and build new useful biological systems. ""Synthetic biology"" represents one example of recent work to engineer biological systems. This emerging field aims to replace the ad hoc process of assembling biological systems by primarily developing tools to assemble reliable-but-complex living organisms from standard components that can later be reused in new combination. The focus of this book is ""genome refactoring,"" one of several approaches to manage the complexity of a biological system in which the goal is to redesign the genetic elements that encode a living form--preserving the function of that form but encoding it with a genome far easier to study and extend. This book presents genome refactoring in two ways: as an important aspect of the emerging field of synthetic biology and as a powerful teaching tool to train would be professionals in the subject. Chapters focus on the overarching goals of synthetic biology and their alignment with the m
出版日期Book 2009
版次1
doihttps://doi.org/10.1007/978-3-031-02569-3
isbn_softcover978-3-031-01441-3
isbn_ebook978-3-031-02569-3Series ISSN 2151-0008 Series E-ISSN 2151-0016
issn_series 2151-0008
copyrightSpringer Nature Switzerland AG 2009
The information of publication is updating

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Computational Approach toward Pulmonary Functional Imaging,s the potential to improve care for millions of patients who suffer from COPD, asthma, cystic fibrosis, and other diseases. While all imaging modalities rely on physics and computation, functional lung imaging is especially amenable to and dependent on computational approaches. Functional imaging mo
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