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Titlebook: Introduction to Systems Biology; Sangdun Choi Book 2007 Humana Press 2007 Evolution.Proteomics.Termination.biology.gene expression.genes.s

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发表于 2025-3-21 16:43:50 | 显示全部楼层 |阅读模式
书目名称Introduction to Systems Biology
编辑Sangdun Choi
视频video
概述Basic explanation of how to use computational methods to explain underlying biological meanings.Introduction into state-of-the-art systems biology.Contains typical approaches to experimental design, b
图书封面Titlebook: Introduction to Systems Biology;  Sangdun Choi Book 2007 Humana Press 2007 Evolution.Proteomics.Termination.biology.gene expression.genes.s
描述.Introduction to Systems Biology is an introductory text for undergraduate and graduate students who are interested in comprehensive biological systems. The authors provide a broad overview of the field using key examples and typical approaches to experimental design. The volume begins with an introduction to systems biology and then details experimental omics tools. Other sections introduce the reader to challenging computational approaches to help understand biological dynamic systems. The final sections of the volume provide ideas for theoretical and modeling optimization in systemic biological researches, presenting most algorithms as implementations, including an up-to-date full range of bioinformatic programs and available successful applications...Informative and cutting-edge, this volume presents a clear and intuitive illustration of the biological systemic approaches and introduces ideal computational methods for research. Introduction to Systems Biology is an indispensable resource, providing a first glimpse into the state-of-the-art in systems biology. .
出版日期Book 2007
关键词Evolution; Proteomics; Termination; biology; gene expression; genes; signal transduction; transcription; Bio
版次1
doihttps://doi.org/10.1007/978-1-59745-531-2
isbn_softcover978-1-61737-729-7
isbn_ebook978-1-59745-531-2
copyrightHumana Press 2007
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发表于 2025-3-21 23:59:49 | 显示全部楼层
Bringing Genomes to Life: The Use of Genome-Scale , Models we present two recent studies that combine . analysis of an . metabolic reconstruction with experimental data. While the first study leads to novel insight into .’s metabolic and regulatory networks, the second presents a computational approach to metabolic engineering.
发表于 2025-3-22 03:28:16 | 显示全部楼层
Handling and Interpreting Gene GroupsWe introduce software that uses Gene Ontology (GO) annotations to infer biological processes associated with the gene groups. Additionally, we review approaches to further analyze gene groups regarding their transcriptional regulation by retrieving and analyzing their putative promoter regions.
发表于 2025-3-22 06:46:41 | 显示全部楼层
Mechanisms Generating Ultrasensitivity, Bistability, and Oscillations in Signal Transductiondbacks shall be reviewed in this chapter. It is discussed that bistability can emerge from ultrasensitivity in conjunction with positive feedback, whereas adaptation, oscillations, and, surprisingly, highly linear response can arise with negative feedback.
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Dissecting Transcriptional Control Networksuilding classifiers that separate promoters targeted by particular transcription factors from those that are not. We start with simple sequence classifiers based on Support Vector Machines and go on to discuss how to integrate different kind of data into the analysis.
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Kinetics of Dimension-Restricted Conditionss of DRRK in each case of reaction type. DRRK has another advantage in that it can be quantitatively evaluated by biochemical experiments. We also introduce the procedure of applying it for experimental results. This modeling method may provide the basis for .-oriented modeling.
发表于 2025-3-23 03:55:02 | 显示全部楼层
Scientific Challenges in Systems Biologyrinciple not only for basic scientific research but also for clinical studies and drug discovery. A series of technologies and methods need to be developed to support investigation of such theorydriven and experimentally verifiable research.
发表于 2025-3-23 09:04:30 | 显示全部楼层
Methods for Protein-Protein Interaction Analysis Y2H-based methods provide interaction- defective and separation-of-function alleles, which are useful for system perturbation. These two methods would thus contribute not only to system identification but also to system analysis, thereby serving as invaluable tools for systems biologists.
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