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Download the fantastic book titled Quantitative Biology Dynamics of Living Systems written by Noriko Hiroi, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Quantitative Biology Dynamics of Living Systems", which was released on 24 July 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Electronic book genre.

Summary of Quantitative Biology Dynamics of Living Systems by Noriko Hiroi PDF

With the emergence of Systems Biology, there is a greater realization that the whole behavior of a living system may not be simply described as the sum of its elements. To represent a living system using mathematical principles, practical quantities with units are required. Quantities are not only the bridge between mathematical description and biological observations; they often stand as essential elements similar to genome information in genetics. This important realization has greatly rejuvenated research in the area of Quantitative Biology. Because of the increased need for precise quantification, a new era of technological development has opened. For example, spatio-temporal high-resolution imaging enables us to track single molecule behavior in vivo. Clever artificial control of experimental conditions and molecular structures has expanded the variety of quantities that can be directly measured. In addition, improved computational power and novel algorithms for analyzing theoretical models have made it possible to investigate complex biological phenomena. This research topic is organized on two aspects of technological advances which are the backbone of Quantitative Biology: (i) visualization of biomolecules, their dynamics and function, and (ii) generic technologies of model optimization and numeric integration. We have also included articles highlighting the need for new quantitative approaches to solve some of the long-standing cell biology questions. In the first section on visualizing biomolecules, four cutting-edge techniques are presented. Ichimura et al. provide a review of quantum dots including their basic characteristics and their applications (for example, single particle tracking). Horisawa discusses a quick and stable labeling technique using click chemistry with distinct advantages compared to fluorescent protein tags. The relatively small physical size, stability of covalent bond and simple metabolic labeling procedures in living cells provides this type of technology a potential to allow long-term imaging with least interference to protein function. Obien et al. review strategies to control microelectrodes for detecting neuronal activity and discuss techniques for higher resolution and quality of recordings using monolithic integration with on-chip circuitry. Finally, the original research article by Amariei et al. describes the oscillatory behavior of metabolites in bacteria. They describe a new method to visualize the periodic dynamics of metabolites in large scale cultures populations. These four articles contribute to the development of quantitative methods visualizing diverse targets: proteins, electrical signals and metabolites. In the second section of the topic, we have included articles on the development of computational tools to fully harness the potential of quantitative measurements through either calculation based on specific model or validation of the model itself. Kimura et al. introduce optimization procedures to search for parameters in a quantitative model that can reproduce experimental data. They present four examples: transcriptional regulation, bacterial chemotaxis, morphogenesis of tissues and organs, and cell cycle regulation. The original research article by Sumiyoshi et al. presents a general methodology to accelerate stochastic simulation efforts. They introduce a method to achieve 130 times faster computation of stochastic models by applying GPGPU. The strength of such accelerated numerical calculation are sometimes underestimated in biology; faster simulation enables multiple runs and in turn improved accuracy of numerical calculation which may change the final conclusion of modeling study. This also highlights the need to carefully assess simulation results and estimations using computational tools.


Detail About Quantitative Biology Dynamics of Living Systems PDF

  • Author : Noriko Hiroi
  • Publisher : Frontiers Media SA
  • Genre : Electronic book
  • Total Pages : 138 pages
  • ISBN : 2889452131
  • PDF File Size : 7,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Quantitative Biology: Dynamics of Living Systems

Quantitative Biology: Dynamics of Living Systems
  • Publisher : Frontiers Media SA
  • File Size : 37,5 Mb
  • Release Date : 24 July 2017
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With the emergence of Systems Biology, there is a greater realization that the whole behavior of a living system may not be simply described as the sum of its elements.

Dynamics of Biological Systems

Dynamics of Biological Systems
  • Publisher : CRC Press
  • File Size : 49,6 Mb
  • Release Date : 25 August 2011
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From the spontaneous rapid firing of cortical neurons to the spatial diffusion of disease epidemics, biological systems exhibit rich dynamic behaviour over a vast range of time and space scales.

Quantitative Biology

Quantitative Biology
  • Publisher : CRC Press
  • File Size : 55,6 Mb
  • Release Date : 25 August 2012
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Quantitative methods are revolutionizing modern molecular and cellular biology. Groundbreaking technical advances are fueling the rapid expansion in our ability to observe, as seen in multidisciplinary studies that integrate theory,

Quantitative Elements of General Biology

Quantitative Elements of General Biology
  • Publisher : Springer Nature
  • File Size : 55,8 Mb
  • Release Date : 28 August 2021
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This monograph sketches out a broad spectrum of problems (from evolution and metabolism to morphogenesis and biogeographical dynamics) whose solution has been impacted by mathematical models. Each of the selected

Quantitative Biology

Quantitative Biology
  • Publisher : MIT Press
  • File Size : 26,6 Mb
  • Release Date : 21 August 2018
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An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research. The quantitative modeling of biological processes promises to

Quantitative Elements of General Biology

Quantitative Elements of General Biology
  • Publisher : Unknown Publisher
  • File Size : 38,9 Mb
  • Release Date : 21 May 2024
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This monograph sketches out a broad spectrum of problems (from evolution and metabolism to morphogenesis and biogeographical dynamics) whose solution has been impacted by mathematical models. Each of the selected

Dynamics of Biological Systems

Dynamics of Biological Systems
  • Publisher : CRC Press
  • File Size : 51,8 Mb
  • Release Date : 25 August 2011
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From the spontaneous rapid firing of cortical neurons to the spatial diffusion of disease epidemics, biological systems exhibit rich dynamic behaviour over a vast range of time and space scales.

Understanding the Dynamics of Biological Systems

Understanding the Dynamics of Biological Systems
  • Publisher : Springer Science & Business Media
  • File Size : 42,5 Mb
  • Release Date : 07 January 2011
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This book is intended as a communication platform to bridge the cultural, conceptual, and technological gap among the key systems biology disciplines of biology, mathematics, and information technology. To support

Models of Life

Models of Life
  • Publisher : Cambridge University Press
  • File Size : 49,7 Mb
  • Release Date : 02 October 2014
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Reflecting the major advances that have been made in the field over the past decade, this book provides an overview of current models of biological systems. The focus is on

Physical Models of Living Systems

Physical Models of Living Systems
  • Publisher : Macmillan Higher Education
  • File Size : 53,9 Mb
  • Release Date : 06 March 2015
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Written for intermediate-level undergraduates pursuing any science or engineering major, Physical Models of Living Systems helps students develop many of the competencies that form the basis of the new MCAT2015.