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Methods in Computational Biology

2019-07-03 Science
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Release : 2019-07-03
Genre : Science
Kind : eBook
Book Rating : 633/5 ( reviews)

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Book Synopsis Methods in Computational Biology by : Ross Carlson

Download or read book Methods in Computational Biology written by Ross Carlson. This book was released on 2019-07-03. Available in PDF, EPUB and Kindle. Book excerpt: Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections: • Reviews of Computational Methods • Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels • The Interface of Biotic and Abiotic Processes • Processing of Large Data Sets for Enhanced Analysis • Parameter Optimization and Measurement

Modeling Methods for Medical Systems Biology

2018 Bioinformatics
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Release : 2018
Genre : Bioinformatics
Kind : eBook
Book Rating : 556/5 ( reviews)

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Book Synopsis Modeling Methods for Medical Systems Biology by : María Elena Álvarez-Buylla Roces

Download or read book Modeling Methods for Medical Systems Biology written by María Elena Álvarez-Buylla Roces. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: This book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach.

Kernel Methods in Computational Biology

2004 Computers
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Release : 2004
Genre : Computers
Kind : eBook
Book Rating : 096/5 ( reviews)

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Book Synopsis Kernel Methods in Computational Biology by : Bernhard Schölkopf

Download or read book Kernel Methods in Computational Biology written by Bernhard Schölkopf. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: A detailed overview of current research in kernel methods and their application to computational biology.

Microbial Systems Biology

2012-05-27 Science
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Release : 2012-05-27
Genre : Science
Kind : eBook
Book Rating : 269/5 ( reviews)

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Book Synopsis Microbial Systems Biology by : Ali Navid

Download or read book Microbial Systems Biology written by Ali Navid. This book was released on 2012-05-27. Available in PDF, EPUB and Kindle. Book excerpt: Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli. Although more and more efforts are being directed toward examining systems biology in complex multi-cellular organisms, the bulk of system-level analyses conducted to date have focused on the biology of microbes. In, Microbial Systems Biology: Methods and Protocols expert researchers in the field describe the utility and attributes of different tools (both experimental and computational) that are used for studying microbial systems. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Microbial Systems Biology: Methods and Protocols introduces and aids scientists in using the various tools that are currently available for analysis, modification and utilization of microbial organisms.

A Guide to Numerical Modelling in Systems Biology

2015-07-06 Mathematics
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Release : 2015-07-06
Genre : Mathematics
Kind : eBook
Book Rating : 593/5 ( reviews)

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Book Synopsis A Guide to Numerical Modelling in Systems Biology by : Peter Deuflhard

Download or read book A Guide to Numerical Modelling in Systems Biology written by Peter Deuflhard. This book was released on 2015-07-06. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universität Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.

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