Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology
Author: Hamid R Arabnia
Publisher: Morgan Kaufmann
Total Pages: 594
Release: 2016-03-25
Genre: Computers
ISBN: 0128042591
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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology
Author: Hamid R Arabnia
Publisher: Morgan Kaufmann
Total Pages: 670
Release: 2015-08-11
Genre: Computers
ISBN: 0128026464
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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

Current trends in Bioinformatics: An Insight

Current trends in Bioinformatics: An Insight
Author: Gulshan Wadhwa
Publisher: Springer
Total Pages: 338
Release: 2018-07-09
Genre: Science
ISBN: 9811074836
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This book highlights the latest breakthrough developments in bioinformatics. It presents a series of timely, in-depth reviews, drug clinical trial studies, biodiversity informatics and thematic issues. In addition, it includes insightful reviews on advances in computational molecular/structural biology, which address areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Innovations in these fields have direct impacts on key issues related to healthcare, medicine, genetic disorders, the development of agricultural products, renewable energy, and environmental protection. Written by respected leaders in the field and covering a wide range of topics involving the integration of biology with computer and information science, the book offers an ideal basis for teaching at the undergraduate and graduate levels. It can also be used for self-instruction by research investigators interested in applying bioinformatics-based analytical methods and information technologists working with academic and industrial laboratories.

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference
Author: Florentino Fdez-Riverola
Publisher: Springer
Total Pages: 184
Release: 2019-06-21
Genre: Technology & Engineering
ISBN: 3030238733
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This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.

Bioinformatics and Computational Biology

Bioinformatics and Computational Biology
Author: Tiratha Raj Singh
Publisher: CRC Press
Total Pages: 376
Release: 2023-12-13
Genre: Computers
ISBN: 1003813208
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Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions. The book offers comprehensive coverage of the most essential and emerging topics: Cloud-based monitoring of bioinformatics multivariate data with cloud platforms Machine learning and deep learning in bioinformatics Quantum machine learning for biological applications Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases Biomedical engineering Next generation sequencing techniques and applications Computational systems biology and molecular evolution While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.

Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)

Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023)
Author: Miguel Rocha
Publisher: Springer Nature
Total Pages: 113
Release: 2023-07-10
Genre: Technology & Engineering
ISBN: 3031380797
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This book aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, bioinformatics, chemoinformatics, and systems biology. The success of bioinformatics in recent years has been prompted by research in molecular biology and molecular medicine in several initiatives. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. The PACBB’23 technical program has selected 9 full papers in the main track and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, APPIA), and the sponsors (AIR Institute).

Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances

Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances
Author: Lecca, Paola
Publisher: IGI Global
Total Pages: 335
Release: 2011-12-31
Genre: Medical
ISBN: 1613504365
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The convergence of biology and computer science was initially motivated by the need to organize and process a growing number of biological observations resulting from rapid advances in experimental techniques. Today, however, close collaboration between biologists, biochemists, medical researchers, and computer scientists has also generated remarkable benefits for the field of computer science. Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data. The book covers three subject areas: bioinformatics, computational biology, and computational systems biology. It focuses on recent, systemic approaches in computer science and mathematics that have been used to model, simulate, and more generally, experiment with biological phenomena at any scale.

Bioinformatics: Applications of Computational Biology in Life Sciences

Bioinformatics: Applications of Computational Biology in Life Sciences
Author: Michael Roberts
Publisher: Richards Education
Total Pages: 159
Release:
Genre: Computers
ISBN:
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Embark on a journey into the fascinating realm of bioinformatics with 'Bioinformatics: Exploring Computational Biology in Life Sciences.' This comprehensive book delves into the applications of computational techniques in understanding biological systems, from sequence analysis and genome assembly to structural biology and systems biology. Whether you're a researcher, student, or industry professional, each chapter provides in-depth insights, methodologies, and real-world examples that highlight the transformative impact of bioinformatics on modern life sciences. Navigate the complexities of biological data analysis and discover how computational biology is shaping the future of healthcare, agriculture, and beyond.

Interdisciplinary Research and Applications in Bioinformatics, Computational Biology, and Environmental Sciences

Interdisciplinary Research and Applications in Bioinformatics, Computational Biology, and Environmental Sciences
Author: Liu, Limin Angela
Publisher: IGI Global
Total Pages: 396
Release: 2010-10-31
Genre: Computers
ISBN: 1609600665
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"This book presents cutting-edge research in the field of computational and systems biology, presenting studies ranging from the atomic/molecular level to the genomic level and covering a wide spectrum of important biological problems and applications"--Provided by publisher.

Frontiers in Computational and Systems Biology

Frontiers in Computational and Systems Biology
Author: Jianfeng Feng
Publisher: Springer Science & Business Media
Total Pages: 411
Release: 2010-06-14
Genre: Science
ISBN: 1849961964
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Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.