Fundamentals of Systems Biology: From Synthetic Circuits to Whole-Cell Models
暫譯: 系統生物學基礎:從合成電路到全細胞模型
Covert, Markus W.
- 出版商: CRC
- 出版日期: 2017-07-27
- 售價: $8,320
- 貴賓價: 9.5 折 $7,904
- 語言: 英文
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138459879
- ISBN-13: 9781138459878
海外代購書籍(需單獨結帳)
相關主題
商品描述
For decades biology has focused on decoding cellular processes one gene at a time, but many of the most pressing biological questions, as well as diseases such as cancer and heart disease, are related to complex systems involving the interaction of hundreds, or even thousands, of gene products and other factors. How do we begin to understand this complexity?
Fundamentals of Systems Biology: From Synthetic Circuits to Whole-cell Models introduces students to methods they can use to tackle complex systems head-on, carefully walking them through studies that comprise the foundation and frontier of systems biology. The first section of the book focuses on bringing students quickly up to speed with a variety of modeling methods in the context of a synthetic biological circuit. This innovative approach builds intuition about the strengths and weaknesses of each method and becomes critical in the book's second half, where much more complicated network models are addressed including transcriptional, signaling, metabolic, and even integrated multi-network models.
The approach makes the work much more accessible to novices (undergraduates, medical students, and biologists new to mathematical modeling) while still having much to offer experienced modelers--whether their interests are microbes, organs, whole organisms, diseases, synthetic biology, or just about any field that investigates living systems.
商品描述(中文翻譯)
數十年來,生物學專注於逐一解碼細胞過程中的基因,但許多最迫切的生物學問題,以及癌症和心臟病等疾病,與涉及數百甚至數千種基因產物和其他因素相互作用的複雜系統有關。我們該如何開始理解這種複雜性?
《系統生物學基礎:從合成電路到全細胞模型》向學生介紹了他們可以用來直接應對複雜系統的方法,並仔細引導他們通過構成系統生物學基礎和前沿的研究。本書的第一部分專注於讓學生迅速掌握合成生物電路背景下的各種建模方法。這種創新的方法建立了對每種方法優缺點的直覺理解,並在本書的後半部分變得至關重要,該部分涉及更為複雜的網絡模型,包括轉錄、信號傳遞、代謝,甚至是綜合多網絡模型。
這種方法使得這項工作對於新手(本科生、醫學生和對數學建模不熟悉的生物學家)更加易於接觸,同時對於有經驗的建模者也有很多幫助——無論他們的興趣是微生物、器官、整個生物體、疾病、合成生物學,或是任何研究生命系統的領域。