Handbook of Systems Biology Concepts and Insights

• Author : Marian Walhout,Marc Vidal,Job Dekker
• Publisher : Academic Press
• Release : 13 November 2017

This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as

• Author : Marian Walhout,Marc Vidal,Job Dekker
• Publisher : Academic Press
• Release : 31 December 2012

This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as

• Author : Daskalaki, Andriani
• Publisher : IGI Global
• Release : 30 November 2008

"This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.

• Author : Michael Stumpf,David J. Balding,Mark Girolami
• Publisher : John Wiley & Sons
• Release : 09 September 2011

Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics

• Author : Lenwood S. Heath,Naren Ramakrishnan
• Publisher : Springer Science & Business Media
• Release : 20 October 2010

Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant

• Author : Darren N. Nesbeth
• Publisher : CRC Press
• Release : 06 April 2016

The Synthetic Biology Handbook explains the major goals of the field of synthetic biology and presents the technical details of the latest advances made in achieving those goals. Offering a comprehensive overview of the current areas of focus in synthetic biology, this handbook: Explores the standardisation of classic molecular bioscience approaches Addresses the societal context and potential impacts of synthetic biology Discusses the use of legacy systems as tools for new product development Examines the design and construction of de

• Author : Jérôme Feret,Heinz Koeppl
• Publisher : Springer
• Release : 18 September 2017

This book constitutes the refereed proceedings of the 15th International Conference on Computational Methods in Systems Biology, CMSB 2017, held in Darmstadt, Germany, in September 2017. The 15 full papers, 4 tool papers and 4 posters presented together with 1 invited talk were carefully reviewed and selected from 41 regular paper submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verication, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from

• Author : Edda Klipp,Wolfram Liebermeister,Christoph Wierling,Axel Kowald,Hans Lehrach,Ralf Herwig
• Publisher : John Wiley & Sons
• Release : 19 September 2011

This advanced textbook is tailored to the needs of introductory course in Systems Biology. It has a compagnion website (WWW.WILEY-VCH.DE/HOME/SYSTEMSBIOLOGY) with solutions to questions in the book and several additional extensive working models. The book is related to the very successful previous title 'Systems Biology in Practice' and has incorporated the feedback and suggestions from many lecturers worldwide. The book addresses biologists as well as engineers and computer scientists. The interdisciplinary team of acclaimed authors worked

• Author : Marc C. Hochberg,Alan J. Silman,Josef S. Smolen,Michael E. Weinblatt,Michael H. Weisman
• Publisher : Elsevier Health Sciences
• Release : 16 June 2014

Stay current in the ever-changing discipline of rheumatology with clear, reliable guidance from Hochberg’s Rheumatology, one of the most respected and trusted sources in the field. Designed to meet the needs of the practicing clinician, this medical reference book provides extensive, authoritative coverage of rheumatic diseases from basic scientific principles to practical points of clinical management in a lucid, logical, user-friendly manner. Track disease progression and treat patients more effectively with the information on genetic findings, imaging outcomes, cell

• Author : Karthik Raman
• Publisher : CRC Press
• Release : 30 May 2021

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features: A hands-on approach to modelling Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models Thoughtful exercises to test and enable

• Author : Thomas Heams,Philippe Huneman,Guillaume Lecointre,Marc Silberstein
• Publisher : Springer
• Release : 23 November 2014

The Darwinian theory of evolution is itself evolving and this book presents the details of the core of modern Darwinism and its latest developmental directions. The authors present current scientific work addressing theoretical problems and challenges in four sections, beginning with the concepts of evolution theory, its processes of variation, heredity, selection, adaptation and function, and its patterns of character, species, descent and life. The second part of this book scrutinizes Darwinism in the philosophy of science and its usefulness

• Author : Joseph Loscalzo,Albert-László Barabási,Edwin K. Silverman
• Publisher : Harvard University Press
• Release : 01 February 2017

Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.

• Author : Basant K. Tiwary
• Publisher : Springer Nature
• Release : 23 November 2021

This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering . The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights

• Author : Darren J. Wilkinson
• Publisher : CRC Press
• Release : 09 November 2011

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping

• Author : Darren J. Wilkinson
• Publisher : CRC Press
• Release : 07 December 2018

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been