Conferences related to Systems Biology

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2018 IEEE/OES Baltic International Symposium (BALTIC)

Energy Security, Hazard Mitigation, Ammunition Disposal, Ecosystems & Socio-economic impacts, Baltic Sea


2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

    International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, Bioinformatics and Bio-Medical Informatics, Genomics, Proteomics, Big Data, Databases and Applications, Semi-Structured/Unstructured Data Mining, Multimedia Mining, Web and Text Data Mining, Graphic Model Discovery, Data Warehousing and OLAP, Pattern Recognition and Diagnostics, etc..

  • 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware

  • 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware, etc.

  • 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2007 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD '07 covers all aspects of fuzzy systems and knowledge discovery, including recent theoretical advances and interesting applications, for example, fuzzy theory and models, mathematical foundation of fuzzy systems, fuzzy image/signal processing, fuzzy control and robotics, fuzzy hardware and architectures, fuzzy systems and the internet, fuzzy optimization and modeling, fuzzy decision and support, classification, clustering, statistical methods, knowledge etc.


2017 36th Chinese Control Conference (CCC)

variable structure control; vehicle systems control; sensor networks; big data analysis and compressed sampling; nonlinear systems control; nonlinear systems theory; complexity and complex system theory; industrial systems and manufacturing; transportation systems; robust control; fuzzy system and fuzzy control; neural networks; data driven modeling and control; stochastic systems; micro-nano and quantum systems; stability and stabilization; systems modeling and identification; motion control; signal processing and information fusion; intelligent robot; etc.

  • 2016 35th Chinese Control Conference (CCC)

    variable structure control; vehicle systems control; sensor networks; big data analysis andcompressed sampling; nonlinear systems control; nonlinear systems theory; complexity andcomplex system theory; industrial systems and manufacturing; transportation systems; robustcontrol; fuzzy system and fuzzy control; neural networks; data driven modeling and control;stochastic systems; micro-nano and quantum systems; stability and stabilization; systemsmodeling and identification; motion control; signal processing and information fusion; intelligentrobot; etc.

  • 2015 34th Chinese Control Conference (CCC)

    The Chinese Control Conference (CCC) is an annual international conference initiated by the Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). It provides a forum for scientists and engineers over the world to present their new theoreticalresults and techniques in the field of systems and control. The conference consists of plenary talks, panel discussions, invited sessions, pre-conference workshops, oral sessions and poster sessions etc. for academic exchanges.

  • 2014 33rd Chinese Control Conference (CCC)

    variable structure control; vehicle systems control; sensor networks; big data analysis and compressed sampling; nonlinear systems control; nonlinear systems theory; complexity and complex system theory; industrial systems and manufacturing; transportation systems; robust control; fuzzy system and fuzzy control; neural networks; data driven modeling and control; stochastic systems; micro-nano and quantum systems; stability and stabilization; systems modeling and identification; motion control; signal processing and information fusion; intelligent robot; etc.

  • 2013 32nd Chinese Control Conference (CCC)

    The Chinese Control Conference (CCC) is an annual international conference initiated by the Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of plenary talks, panel discussions, invited sessions, pre-conference workshops, oral sessions and poster sessions etc. for academic exchanges.

  • 2012 Chinese Control Conference (CCC)

    The Chinese Control Conference (CCC) is an annual international conference organized by the Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of pre-conference workshops, plenary talks, panel discussions, invited sessions, oral sessions and poster sessions etc. for academic exchanges.

  • 2011 30th Chinese Control Conference (CCC)

    Systems and Control

  • 2010 29th Chinese Control Conference (CCC)

    S1 System Theory and Control Theory S2 Nonlinear Systems and Control S3 Complexity and Complex System Theory S4 Distributed Parameter Systems S5 Stability and Stabilization S6 Large Scale Systems S7 Stochastic Systems S8 System Modeling and System Identification S9 DEDS and Hybrid Systems S10 Optimal Control S11 Optimization and Scheduling S12 Robust Control S13 Adaptive Control and Learning Control S14 Variable Structure Control S15 Neural

  • 2008 Chinese Control Conference (CCC)

    The Chinese Control Conference (CCC) is an annual international conference organized by Tech. Com. on Control Theory, CAA. It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of plenary talks, panel discussions, oral and poster sessions etc. for academic exchanges. The conference proceedings have been selected for coverage in ISI proceedings/ISTP (Index to Scientific and Technical

  • 2007 Chinese Control Conference (CCC)

    The CCC is an annual international conference organized by Tech. Com. on Control Theory, CAA. It provides a forum for scientists and engineers over the world to present their new theoretical results and techniques in the field of systems and control. The conference consists of pre-conference workshops, plenary talks, oral and poster sessions etc. for academic exchanges. The 26th CCC is organized by the Central South University and will be held in Zhangjiajie.

  • 2006 Chinese Control Conference (CCC)


2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) in conjunction with International Biomedical Engineering Conference of KOSOMBE will be held at International Convention Center (ICC), Jeju Island, Korea from July 11 to 15, 2017. The overall theme of the conference is “Smarter Technology for Healthier World” and will cover diverse topics of cutting-edge research in biomedical engineering, healthcare technology R&D, translational clinical research, technology transfer and entrepreneurship, and biomedical engineering education. The conference program will feature high-profile keynote lectures, minisymposia, workshops, invited sessions, oral and poster sessions, sessions for students and young professions, sessions for clinicians and entrepreneurs, and exhibitions.


2017 IEEE 13th International Conference on e-Science (e-Science)

We consider the term eScience in its broadest meaning – effectively any technical, organisational or cultural aspect of the digital revolution of research is a relevant topic. In short, eScience promotes innovation in collaborative, computationally- or data-intensive research across all disciplines, throughout the research lifecycle.

  • 2018 IEEE 14th International Conference on e-Science (e-Science)

    The conferences brings together computer and data scientists with domain scientists with data and/or compute intensive research challenges. The conference focusses on the application of computer and data science and related e-infrastructure. The conference will have a computer science track and application tracks, as well as workshops and tutorials on research software.

  • 2016 IEEE 12th International Conference on e-Science (e-Science)

    The Scope of the IEEE 12th International Conference on eScience is to bring domain scientists together with computer scientists to collaborate and explore novel research in Data Intensive Science, Computational Data, Unique Public Data Collections and Databases and other science and engineering topics related to Big Data.

  • 2015 IEEE 11th International Conference on e-Science (e-Science)

    We see environmental computing as an emerging specialty that focuses on discovering these dependencies and producing actionable knowledge by optimally combining different models and data sources. This requires in depth analysis of the various feedback loops in the systems, and – equally importantly – presenting these relationships in a way that can be readily used both in different decision making processes as well as a foundation for further, cross-disciplinary research activities.

  • 2014 IEEE 10th International Conference on e-Science (e-Science)

    The e-Science conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e-Science applications and enabling IT technologies, serving as a forum to present resent research advances in e-Science and highlight associated activities worldwide.

  • 2012 IEEE 8th International Conference on E-Science (e-Science)

    Scientific research is increasingly carried out by communities of researchers that span disciplines, laboratories, organizations, and national boundaries. The e-Science 2012 conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e-Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities from around the world.

  • 2011 IEEE 7th International Conference on E-Science (e-Science)

    Interdisciplinary research communities, developers, and users of e Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities from around the world.

  • 2010 IEEE 6th International Conference on E Science (e-Science)

    This conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities around the world.

  • 2009 5th IEEE International Conference on e-Science (e-Science)

    The e-Science 2009 conference is designed to bring together leading international and interdisciplinary research communities, developers, and users of e-Science applications and enabling IT technologies. The conference serves as a forum to present the results of the latest research and product/tool developments and to highlight related activities from around the world.

  • 2008 4th IEEE International Conference on e-Science and Grid Computing (e-Science)

    These activities involve geographically distributed and heterogeneous resources such as computational systems, scientific instruments, databases, sensors, software components, networks, and people. Such large-scale and enhanced scientific endeavors, popularly known as e-Science, are carried out via collaborations on a global scale. By enabling an Internet-based utility computing infrastructure, grid computing makes e-Science possible. The e-Science 2008 conference is designed to bring together leading in

  • 2007 3rd IEEE International Conference on e-Science and Grid Computing (e-Science)

    E-Science 2007 is an important conference for the international e-Science community as it provides a forum for all e-Science and Grid researchers, developers and users, and those who are just curious to see the project results and become aware of the progress made in this area.

  • 2006 2nd IEEE International Conference on e-Science and Grid Computing (e-Science)

  • 2005 1st IEEE International Conference on e-Science and Grid Computing (e-Science)


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Periodicals related to Systems Biology

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


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Most published Xplore authors for Systems Biology

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Xplore Articles related to Systems Biology

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Expert opinions in cancer metastasis: Harvesting knowledge from uncertainty and discrepancies

Anna Divoli 2011 International Conference on Collaboration Technologies and Systems (CTS), 2011

Summary form only given. Research in computational biology is often contingent on principal notions. Mathematical modeling is relying on valid initial assumptions. Text mining algorithms can only retrieve or extract information found in text. Knowledge representation requires a degree of knowledge consensus. Our understanding of certain areas in biology, however, is still in its infancy having a ripple effect in ...


A comparative study for characterisation and prediction of tissue-specific DNA methylation of CpG islands in chromosomes 6, 20 and 22

Isse Ali; Huseyin Seker 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010

Advanced technology has enabled identification of tissue-specific methylated CpG islands of different human tissues. As methylation of CpG islands is involved in various biological phenomena and function of the DNA methylation is linked to various human diseases such as cancer, analysis of the CpG islands has become important and useful in characterising and modelling biological phenomena and understanding mechanism of ...


Knowledge-Guided Docking of Flexible Ligands to SH2 Domain Proteins

Haiyun Lu; Shamima Banu Bte Sm Rashid; Hao Li; Wee Kheng Leow; Yih-Cherng Liou 2010 IEEE International Conference on BioInformatics and BioEngineering, 2010

Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling and regulation. In this work, we applied a three-stage knowledge-guided approach of docking flexible peptide ligands to SH2 domains. The first stage of the approach search for binding pockets of SH2 domain proteins and binding motifs of peptide ligands based on known features. ...


On Parameter Synthesis by Parallel Model Checking

Jiri Barnat; Lubos Brim; Adam Krejci; Adam Streck; David Safranek; Martin Vejnar; Tomas Vejpustek IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012

An important problem in current computational systems biology is to analyze models of biological systems dynamics under parameter uncertainty. This paper presents a novel algorithm for parameter synthesis based on parallel model checking. The algorithm is conceptually universal with respect to the modeling approach employed. We introduce the algorithm, show its scalability, and examine its applicability on several biological models.


Mining correlation patterns of taxa, pathways and environmental factors with an improved weighted network community detection algorithm

Xiao-Ying Yan; Shao-Wu Zhang; Ze-Gang Wei; Wei-Feng Guo 2014 8th International Conference on Systems Biology (ISB), 2014

With the development of high-throughput and low-cost sequencing technology, a large amount of marine microbial sequences is generated. So, it is possible to research more uncultivated marine microbes. Generally, the functional capability and taxa structure are highly related with environment factors in microbial communities, which are hidden in these large amount sequences. However, most works used the canonical correlation analysis ...


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Educational Resources on Systems Biology

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eLearning

Expert opinions in cancer metastasis: Harvesting knowledge from uncertainty and discrepancies

Anna Divoli 2011 International Conference on Collaboration Technologies and Systems (CTS), 2011

Summary form only given. Research in computational biology is often contingent on principal notions. Mathematical modeling is relying on valid initial assumptions. Text mining algorithms can only retrieve or extract information found in text. Knowledge representation requires a degree of knowledge consensus. Our understanding of certain areas in biology, however, is still in its infancy having a ripple effect in ...


A comparative study for characterisation and prediction of tissue-specific DNA methylation of CpG islands in chromosomes 6, 20 and 22

Isse Ali; Huseyin Seker 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010

Advanced technology has enabled identification of tissue-specific methylated CpG islands of different human tissues. As methylation of CpG islands is involved in various biological phenomena and function of the DNA methylation is linked to various human diseases such as cancer, analysis of the CpG islands has become important and useful in characterising and modelling biological phenomena and understanding mechanism of ...


Knowledge-Guided Docking of Flexible Ligands to SH2 Domain Proteins

Haiyun Lu; Shamima Banu Bte Sm Rashid; Hao Li; Wee Kheng Leow; Yih-Cherng Liou 2010 IEEE International Conference on BioInformatics and BioEngineering, 2010

Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling and regulation. In this work, we applied a three-stage knowledge-guided approach of docking flexible peptide ligands to SH2 domains. The first stage of the approach search for binding pockets of SH2 domain proteins and binding motifs of peptide ligands based on known features. ...


On Parameter Synthesis by Parallel Model Checking

Jiri Barnat; Lubos Brim; Adam Krejci; Adam Streck; David Safranek; Martin Vejnar; Tomas Vejpustek IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012

An important problem in current computational systems biology is to analyze models of biological systems dynamics under parameter uncertainty. This paper presents a novel algorithm for parameter synthesis based on parallel model checking. The algorithm is conceptually universal with respect to the modeling approach employed. We introduce the algorithm, show its scalability, and examine its applicability on several biological models.


Mining correlation patterns of taxa, pathways and environmental factors with an improved weighted network community detection algorithm

Xiao-Ying Yan; Shao-Wu Zhang; Ze-Gang Wei; Wei-Feng Guo 2014 8th International Conference on Systems Biology (ISB), 2014

With the development of high-throughput and low-cost sequencing technology, a large amount of marine microbial sequences is generated. So, it is possible to research more uncultivated marine microbes. Generally, the functional capability and taxa structure are highly related with environment factors in microbial communities, which are hidden in these large amount sequences. However, most works used the canonical correlation analysis ...


More eLearning Resources

IEEE.tv Videos

EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Pamela A. Silver
EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Bruce Tidor
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Utkan Demirci
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Ali Khademhosseini
EMBC 2011-Keynote Lecture-Engineering Drug Dosing in Dynamic Biological Systems - David J. Balaban
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Mehmet R. Dokmeci
EMBC 2011-Workshop-Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Michelle Khine
IMS 2015 Keynote: The Century of Biology is Great for Engineering
Robotics History: Narratives and Networks Oral Histories: Ruzena Bajcsy
EMBC 2011-Keynote Lectures and Panel Discussion-PT IV-Discussion
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Sergei Adamovich, PhD
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Judith Deutsch VR and Video Gaming
Yuan-ting Zhang AMA EMBS Individualized Health
Sensors and Measurement: Inspirations from Nature - Tutorial by Gourab Sen Gupta
ICASSP 2010 - Advances in Neural Engineering
From Biology to Robot and Back
Engineering Our Future - Q and A with Panel
Mayo Clinic Motion Lab
EMBC 2011-Workshop-Nanobiomaterials-Ehsan Jabbarzadeh
Norbert Wiener in the 21st Century Conference Concept

IEEE-USA E-Books

  • Computational Modeling

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • A Software Tools for Biological Modeling

    This chapter contains section titled: A.1 Genetic Network Analyzer: GNA, A.2 Gene Interaction Network Simulator: GINsim, A.3 Discrete Dynamics Lab: DDLab, A.4 Cellerator, A.5 Sigmoid, A.6 Metatool, A.7 FluxAnalyzer, A.8 ScrumPy, A.9 Jarnac, A.10 Gepasi, A.11 MesoRD, A.12 Ingeneue, A.13 XPPAUT, A.14 BioSens, A.15 JigCell, A.16 Oscill8, A.17 Madonna, A.18 Systems Biology Workbench

  • Correlation Networks

    This chapter contains sections titled: Introduction General Remarks Basic Notation Construction and Analyses of Correlation Networks Biological Use of Correlation Networks Summary Exercises References

  • Networks in Biology

    This chapter contains sections titled: Introduction Biology 101 Systems Biology Properties of Biological Networks Summary Exercises References

  • Computational Constraints on Modeling in Systems Biology

    This chapter contains section titled: 15.1 Introduction, 15.2 Algorithms, 15.3 Sorting, 15.4 Dynamic Programming, 15.5 Graphs, 15.6 Search, 15.7 Identification, Simulation and Optimization of Dynamical Models, 15.8 Summary

  • References

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • No title

    <p>Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data. </p><p>This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus o GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics.</p>

  • The Challenges of Systems Biology

    This chapter contains sections titled: 1 Genomics, Gene Expression, and Next- Generation Sequencing, 2 Metabolic Network Reconstruction, 3 Computational Models of Gene Translation, 4 Reverse Engineering of Cellular Networks, 5 Outlook, Note, References

  • Contributors

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • General Concepts

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.



Standards related to Systems Biology

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No standards are currently tagged "Systems Biology"