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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Aranson, Igor S |
Physical Models of Cell Motility |
I10050 |
2016 |
eBook |
|
| 2 |
Meyer-Ortmanns, Hildegard |
Principles of Evolution |
I08468 |
2011 |
eBook |
|
| 3 |
Stankovski, Tomislav |
Tackling the Inverse Problem for Non-Autonomous Systems |
I08382 |
2014 |
eBook |
|
| 4 |
Bloomfield, Victor |
Computer Simulation and Data Analysis in Molecular Biology and Biophysics |
I07851 |
2009 |
eBook |
|
| 5 |
Colman, Michael A |
Mechanisms of Atrial Arrhythmias |
I07694 |
2014 |
eBook |
|
| 6 |
Dana, Syamal K |
Complex Dynamics in Physiological Systems: From Heart to Brain |
I06958 |
2009 |
eBook |
|
| 7 |
Read, Randy J |
Evolving Methods for Macromolecular Crystallography |
I06935 |
2007 |
eBook |
|
| 8 |
Rubin, Andrew |
Mathematical Biophysics |
I06025 |
2014 |
eBook |
|
| 9 |
Flyvbjerg, Henrik |
Physics of Biological Systems |
I04532 |
1997 |
eBook |
|
| 10 |
Heermann, Dieter W |
Parallel Algorithms in Computational Science |
I04360 |
1991 |
eBook |
|
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|
1.
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| Title | Physical Models of Cell Motility |
| Author(s) | Aranson, Igor S |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | IX, 201 p. 61 illus., 9 illus. in color : online resource |
| Abstract Note | This book surveys the most recent advances in physics-inspired cell movement models. This synergetic, cross-disciplinary effort to increase the fidelity of computational algorithms will lead to a better understanding of the complex biomechanics of cell movement, and stimulate progress in research on related active matter systems, from suspensions of bacteria and synthetic swimmers to cell tissues and cytoskeleton.Cell motility and collective motion are among the most important themes in biology and statistical physics of out-of-equilibrium systems, and crucial for morphogenesis, wound healing, and immune response in eukaryotic organisms. It is also relevant for the development of effective treatment strategies for diseases such as cancer, and for the design of bioactive surfaces for cell sorting and manipulation. Substrate-based cell motility is, however, a very complex process as regulatory pathways and physical force generation mechanisms are intertwined. To understand the interplay between adhesion, force generation and motility, an abundance of computational models have been proposed in recent years, from finite element to??immerse interface methods and phase field approaches.??This book is primarily written for physicists, mathematical biologists and biomedical engineers working in this rapidly expanding field, and can serve as supplementary reading for advanced graduate courses in biophysics and mathematical biology. The e-book incorporates experimental and computer animations illustrating various aspects of cell movement |
| ISBN,Price | 9783319244488 |
| Keyword(s) | 1. Bioinformatics??
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOMATHEMATICS
5. Biomedical engineering
6. Biomedical Engineering and Bioengineering
7. BIOPHYSICS
8. Computational biology??
9. Computer Appl. in Life Sciences
10. EBOOK
11. EBOOK - SPRINGER
12. Numerical and Computational Physics, Simulation
13. PHYSICS
14. Physiological, Cellular and Medical Topics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10050 |
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On Shelf |
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2.
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| Title | Principles of Evolution : From the Planck Epoch to Complex Multicellular Life |
| Author(s) | Meyer-Ortmanns, Hildegard;Thurner, Stefan |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2011. |
| Description | XII, 388 p : online resource |
| Abstract Note | With contributions from a team of leading experts, this volume provides a comprehensive survey of recent achievements in our scientific understanding of evolution. The questions it asks concern the beginnings of the universe, the origin of life and the chances of its arising at all, the role of contingency, and the search for universal features in the plethora of evolutionary phenomena. Rather than oversimplified or premature answers, the chapters provide a clear picture of how these essential problems are being tackled, enabling the reader to understand current thinking and open questions.?? The tools employed stem from a range of disciplines including mathematics, physics, biochemistry and cell biology. Self-organization as an overarching concept is demonstrated in the most diverse areas: from galaxy formation in the universe to spindle and aster formation in the cell. Chemical master equations, population dynamics, and evolutionary game theory are presented as suitable frameworks for understanding the universal mechanisms and organizational principles observed in a wide range of living units, ranging from cells to societies. This book will provide engaging reading and food for thought for all those seeking a deeper understanding of the science of evolution |
| ISBN,Price | 9783642181375 |
| Keyword(s) | 1. Bioinformatics??
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. Chemistry, Physical and theoretical
6. COMPLEX SYSTEMS
7. Computational biology??
8. Computer Appl. in Life Sciences
9. DYNAMICAL SYSTEMS
10. EBOOK
11. EBOOK - SPRINGER
12. Evolutionary Biology
13. STATISTICAL PHYSICS
14. Statistical Physics and Dynamical Systems
15. Theoretical and Computational Chemistry
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08468 |
|
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On Shelf |
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3.
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| Title | Tackling the Inverse Problem for Non-Autonomous Systems : Application to the Life Sciences |
| Author(s) | Stankovski, Tomislav |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XV, 135 p : online resource |
| Abstract Note | This??thesis presents a new method for following evolving interactions between coupled oscillatory systems of the kind that abound in nature. Examples range from the subcellular level, to ecosystems, through climate dynamics, to the movements of planets and stars.?? Such systems mutually interact, adjusting their internal clocks, and may correspondingly move between synchronized and non-synchronized states. The thesis describes a way of using Bayesian inference to exploit the presence of random fluctuations, thus analyzing these processes in unprecedented detail.?? It first develops the basic theory of interacting oscillators whose frequencies are non-constant, and then applies it to the human heart and lungs as an example. Their coupling function can be used to follow with great precision the transitions into and out of synchronization. The method described has the potential to illuminate the ageing process as well as to improve diagnostics in cardiology, anesthesiology and neuroscience, and yields insights into a wide diversity of natural processes |
| ISBN,Price | 9783319007533 |
| Keyword(s) | 1. Bioinformatics??
2. COMPLEX SYSTEMS
3. Computational biology??
4. Computer Appl. in Life Sciences
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. ENVIRONMENTAL SCIENCES
9. Math. Appl. in Environmental Science
10. MATHEMATICAL PHYSICS
11. PROBABILITIES
12. Probability Theory and Stochastic Processes
13. STATISTICAL PHYSICS
14. Statistical Physics and Dynamical Systems
15. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08382 |
|
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On Shelf |
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4.
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| Title | Computer Simulation and Data Analysis in Molecular Biology and Biophysics : An Introduction Using R |
| Author(s) | Bloomfield, Victor |
| Publication | New York, NY, Springer New York, 2009. |
| Description | XVI, 321 p : online resource |
| Abstract Note | This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. It introduces tools to enable readers to learn and use fundamental methods for constructing quantitative models of biological mechanisms, both deterministic and with some elements of randomness, including complex reaction equilibria and kinetics, population models, and regulation of metabolism and development; to understand how concepts of probability can help in explaining important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data from spectroscopic, genomic, and proteomic sources. These quantitative tools are implemented using the free, open source software program R. R provides an excellent environment for general numerical and statistical computing and graphics, with capabilities similar to Matlab??. Since R is increasingly used in bioinformatics applications such as the BioConductor project, it can serve students as their basic quantitative, statistical, and graphics tool as they develop their careers |
| ISBN,Price | 9781441900838 |
| Keyword(s) | 1. BIOCHEMISTRY
2. Biochemistry, general
3. Bioinformatics??
4. Biological and Medical Physics, Biophysics
5. BIOLOGICAL PHYSICS
6. Biomedical engineering
7. Biomedical Engineering and Bioengineering
8. BIOPHYSICS
9. CELL BIOLOGY
10. Computational biology??
11. Computer Appl. in Life Sciences
12. EBOOK
13. EBOOK - SPRINGER
14. Science, Humanities and Social Sciences, multidisciplinary
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07851 |
|
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On Shelf |
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5.
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| Title | Mechanisms of Atrial Arrhythmias : Insights from the Development of a Biophysically Detailed Model of the Human Atria |
| Author(s) | Colman, Michael A |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XXII, 256 p. 137 illus., 42 illus. in color : online resource |
| Abstract Note | This thesis describes the??development of biophysically detailed computer models of the human atria and torso to study the underlying mechanisms of cardiac diseases, some of the most common??causes of??morbidity and mortality. This is a cross-disciplinary project, involving fundamentals of cardiac electrophysiology, physics of excitable media, applied mathematics and high performance scientific computing and visualisation.?? The author uses computer models to provide insights into the underlying mechanisms of the genesis of atrial fibrillation and??develops novel techniques for the monitoring of atrial tachycardia.?? |
| ISBN,Price | 9783319016436 |
| Keyword(s) | 1. Bioinformatics??
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. CARDIOLOGY
6. Computational biology??
7. Computer Appl. in Life Sciences
8. EBOOK
9. EBOOK - SPRINGER
10. Mathematical Applications in the Physical Sciences
11. MATHEMATICAL PHYSICS
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07694 |
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On Shelf |
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6.
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| Title | Complex Dynamics in Physiological Systems: From Heart to Brain |
| Author(s) | Dana, Syamal K;Roy, Prodyot K;Kurths, J??rgen |
| Publication | Dordrecht, Springer Netherlands, 2009. |
| Description | XVI, 272 p. 136 illus., 54 illus. in color : online resource |
| Abstract Note | Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine; nonlinear data analysis has helped to detect the progress of cardiac disease, physiological disorders, for example episodes of epilepsy, and others. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset of epileptic seizures, using the nonlinear analysis based on ECG and EEG data. Topics covered include the analysis of cardiac models and neural models. The book is a collection of recent research papers by leading physicists, mathematicians, cardiologists and neurobiologists who are actively involved in using the concepts of nonlinear dynamics to explore the functional behaviours of heart and brain under normal and pathological conditions. This collection is intended for students in physics, mathematics and medical sciences, and researchers in interdisciplinary areas of physics and biology |
| ISBN,Price | 9781402091438 |
| Keyword(s) | 1. Bioinformatics??
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. Biomedical engineering
5. Biomedical Engineering and Bioengineering
6. Biomedicine, general
7. BIOPHYSICS
8. COMPLEX SYSTEMS
9. Computational biology??
10. Computer Appl. in Life Sciences
11. DYNAMICAL SYSTEMS
12. EBOOK
13. EBOOK - SPRINGER
14. MEDICINE
15. STATISTICAL PHYSICS
16. Statistics for Life Sciences, Medicine, Health Sciences
17. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06958 |
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On Shelf |
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7.
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| Title | Evolving Methods for Macromolecular Crystallography : The Structural Path to the Understanding of the Mechanism of Action of CBRN Agents |
| Author(s) | Read, Randy J;Sussman, Joel L |
| Publication | Dordrecht, Springer Netherlands, 2007. |
| Description | VIII, 192 p : online resource |
| Abstract Note | This volume comprises papers presented at the 2005 edition of the ???Crystallography of Molecular Biology??? courses that have been held since 1976 at the Ettore Majorana Centre for Scientific Culture in Erice, Italy. This series of courses is renowned for bringing leaders in the field of macromo- cular crystallography together with highly motivated students, in a beautiful and intimate location that encourages people to interact. The warm and informal atmosphere at these Erice conferences, especially these on cryst- lography, has helped to foster long-term scientific interactions and new int- national friendships that have often lasted for the lifetime of the scientists. The course was financed by NATO as an Advanced Study Institute and by the European Commission as a EuroSummerSchool. The papers span the breadth of material presented in the course, which emphasized the practical aspects of modern macromolecular crystallography and its applications. One must start with crystals: Bergfors showed how to improve initial crystals through seeding, while Byrne discussed the difficult problem of crystallizing membrane proteins. The collection of optimal diffraction data requires both careful preparation of cryo-cooled crystals (Garman) and proper processing of the diffraction images (Leslie). To obtain images of electron density, one needs estimates of the phases of the diffracted spots. Sheldrick presented the background to the sing- wavelength anomalous diffraction (SAD) method, which has been gaining popularity, and McCoy discussed the basis of modern maximum likelihood methods for treating information in experimental phasing |
| ISBN,Price | 9781402063169 |
| Keyword(s) | 1. BIOINFORMATICS
2. Bioinformatics??
3. Biological and Medical Physics, Biophysics
4. BIOLOGICAL PHYSICS
5. BIOPHYSICS
6. Computational biology??
7. Computer Appl. in Life Sciences
8. CRYSTALLOGRAPHY
9. Crystallography and Scattering Methods
10. EBOOK
11. EBOOK - SPRINGER
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06935 |
|
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On Shelf |
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8.
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| Title | Mathematical Biophysics |
| Author(s) | Rubin, Andrew;Riznichenko, Galina |
| Publication | New York, NY, Springer US, 2014. |
| Description | XV, 273 p. 150 illus., 43 illus. in color : online resource |
| Abstract Note | This book presents concise descriptions and analysis of the classical and modern models used in mathematical biophysics. The authors ask the question "what new information can be provided by the models that cannot be obtained directly from experimental data?" Actively developing fields such as regulatory mechanisms in cells and subcellular systems and electron transport and energy transport in membranes are addressed together with more classical topics such as metabolic processes, nerve conduction and heart activity, chemical kinetics, population dynamics, and photosynthesis. The main approach is to describe biological processes using different mathematical approaches necessary to reveal characteristic features and properties of simulated systems. With the emergence of powerful mathematics software packages such as MAPLE, Mathematica, Mathcad, and MatLab, these methodologies are now accessible to a wide audience. Provides succinct but authoritative coverage of a broad array of biophysical topics and models Written by authors at Moscow State University with its strong tradition in mathematics and biophysics Scope, coverage, and length make the book highly suitable for use in a one-semester course at the senior undergraduate/graduate level |
| ISBN,Price | 9781461487029 |
| Keyword(s) | 1. Bioinformatics??
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. Chemometrics
6. Computational biology??
7. Computer Appl. in Life Sciences
8. EBOOK
9. EBOOK - SPRINGER
10. Math. Applications in Chemistry
|
| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06025 |
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On Shelf |
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9.
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| Title | Physics of Biological Systems : From Molecules to Species |
| Author(s) | Flyvbjerg, Henrik;Hertz, John;Jensen, Mogens H;Mouritsen, Ole G;Sneppen, Kim |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1997. |
| Description | X, 366 p : online resource |
| Abstract Note | This book contains pedagogical introductions to a selection of the most exciting subjects in current biological physics: - Sorting DNA on a microchip: a first step towards miniature laboratories on a chip. - Modeling protein folding, structure, and motion. - Physics of organelles: mechanical characteristics of molecular motors; dynamics of microtubules; shapes of membranes, vesicles and cells. - A physicist's view of brains and neurons; statistics of sensory signal processing. - Evolutionary biology of molecules; pattern forming bacterial colonies; model ecologies with Darwinian co-evolution. The book is aimed at graduate students and researchers in physics, biology and mathematical modeling who have no prior knowledge of its subjects. Problems, methods, results, and perspectives are presented with the emphasis on general aspects and explanations, and only the necessary minimum of mathematical formalism is used |
| ISBN,Price | 9783540497332 |
| Keyword(s) | 1. BIOCHEMISTRY
2. Biochemistry, general
3. Bioinformatics??
4. Biological and Medical Physics, Biophysics
5. BIOLOGICAL PHYSICS
6. BIOPHYSICS
7. Chemistry, Physical and theoretical
8. Computational biology??
9. Computer Appl. in Life Sciences
10. EBOOK
11. EBOOK - SPRINGER
12. Theoretical and Computational Chemistry
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04532 |
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On Shelf |
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10.
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| Title | Parallel Algorithms in Computational Science |
| Author(s) | Heermann, Dieter W;Burkitt, Anthony N |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1991. |
| Description | XIII, 183 p : online resource |
| Abstract Note | Our aim in this book is to present and enlarge upon those aspects of parallel computing that are needed by practitioners of computational science. Today al?? most all classical sciences, such as mathematics, physics, chemistry and biology, employ numerical methods to help gain insight into nature. In addition to the traditional numerical methods, such as matrix inversions and the like, a whole new field of computational techniques has come to assume central importance, namely the numerical simulation methods. These methods are much less fully developed than those which are usually taught in a standard numerical math?? ematics course. However, they form a whole new set of tools for research in the physical sciences and are applicable to a very wide range of problems. At the same time there have been not only enormous strides forward in the speed and capability of computers but also dramatic new developments in computer architecture, and particularly in parallel computers. These improvements offer exciting prospects for computer studies of physical systems, and it is the new techniques and methods connected with such computer simulations that we seek to present in this book, particularly in the light of the possibilities opened up by parallel computers. It is clearly not possible at this early stage to write a definitive book on simulation methods and parallel computing |
| ISBN,Price | 9783642762659 |
| Keyword(s) | 1. Bioinformatics??
2. Chemistry, Physical and theoretical
3. COMPLEX SYSTEMS
4. Computational biology??
5. Computer Appl. in Life Sciences
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. Mathematical Methods in Physics
10. Numerical and Computational Physics, Simulation
11. PHYSICS
12. STATISTICAL PHYSICS
13. Theoretical and Computational Chemistry
14. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04360 |
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On Shelf |
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