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Bioinformatics in the Era of Post Genomics and Big Data

Bioinformatics in the Era of Post Genomics and Big Data
Author: Ibrokhim Y. Abdurakhmonov
Publisher: BoD – Books on Demand
Total Pages: 190
Release: 2018-06-20
Genre: Medical
ISBN: 1789232686

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Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.


Bioinformatics in the Post-genomic Era

Bioinformatics in the Post-genomic Era
Author: Jeffrey Augen
Publisher: Addison-Wesley Professional
Total Pages: 412
Release: 2005
Genre: Computers
ISBN:

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A comprehensive treatment of the role of bioinformatics in the emerging world of molecular medicine, for anyone involved in this new field


Bioinformatics

Bioinformatics
Author: Frédéric Dardel
Publisher: John Wiley & Sons
Total Pages: 252
Release: 2007-01-11
Genre: Science
ISBN: 9780470020029

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This book is an excellent introductory text describing the use of bioinformatics to analyze genomic and post-genomic data. It has been translated from the original popular French edition, which was based on a course taught at the well-respected École Polytechnique in Palaiseau. This edition has been fully revised and updated by the authors. After a brief introduction to gene structure and sequence determination, it describes the techniques used to identify genes, their protein-coding sequences and regulatory regions. The book discusses the methodology of comparative genomics, using information from different organisms to deduce information about unknown sequences. There is a comprehensive chapter on structure prediction, covering both RNA and protein. Finally, the book describes the complex networks of RNA and protein that exist within the cell and their interactions, ending with a discussion of the simulation approaches that can be used to model these networks. Praise from the reviews: “In context of the new developments the genomic era has brought, Bioinformatics: Genomics and Post-Genomics becomes a fundamental and indispensable resource for undergraduate and early graduate students...insightfully authored...will immensely help students...in establishing important foundations while shaping their careers.” NEWSLETTER, BRITISH SOCIETY OF CELL BIOLOGY


Bioinformatics in the Post-genomic Era

Bioinformatics in the Post-genomic Era
Author: Ivan Y. Torshin
Publisher: Nova Publishers
Total Pages: 282
Release: 2006
Genre: Medical
ISBN: 9781600210488

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Biomedicine is one of the most important fields for the prospective applications of the information from human genome studies. However, there are many 'white spots' in the present-day understanding of the biomedical implications of this information. Given that at least half of the proteins in the established sequence of the human genome have no annotation whatsoever and that the sequence similarity searches are not likely to produce any, definite research strategies to analyse the functions of these unknown proteins as well as other enigmatic aspects of the human genome are being elaborated. The elaboration of the logistics of these research strategies, of the relevant computational methodologies as well as the general management of the informational complexity of the biological systems belong to the main tasks for the post-genomic bioinformatics. This volume concentrates on the role of the biophysical studies and biophysical concepts that can assist the endeavour.


Gene Quantification

Gene Quantification
Author: Francois Ferre
Publisher: Springer Science & Business Media
Total Pages: 379
Release: 2012-12-06
Genre: Medical
ISBN: 1461241642

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Geneticists and molecular biologists have been interested in quantifying genes and their products for many years and for various reasons (Bishop, 1974). Early molecular methods were based on molecular hybridization, and were devised shortly after Marmur and Doty (1961) first showed that denaturation of the double helix could be reversed - that the process of molecular reassociation was exquisitely sequence dependent. Gillespie and Spiegelman (1965) developed a way of using the method to titrate the number of copies of a probe within a target sequence in which the target sequence was fixed to a membrane support prior to hybridization with the probe - typically a RNA. Thus, this was a precursor to many of the methods still in use, and indeed under development, today. Early examples of the application of these methods included the measurement of the copy numbers in gene families such as the ribosomal genes and the immunoglo bulin family. Amplification of genes in tumors and in response to drug treatment was discovered by this method. In the same period, methods were invented for estimating gene num bers based on the kinetics of the reassociation process - the so-called Cot analysis. This method, which exploits the dependence of the rate of reassociation on the concentration of the two strands, revealed the presence of repeated sequences in the DNA of higher eukaryotes (Britten and Kohne, 1968). An adaptation to RNA, Rot analysis (Melli and Bishop, 1969), was used to measure the abundance of RNAs in a mixed population.


Artificial Intelligence

Artificial Intelligence
Author:
Publisher: BoD – Books on Demand
Total Pages: 142
Release: 2019-07-31
Genre: Medical
ISBN: 1789840171

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Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.


Research Anthology on Bioinformatics, Genomics, and Computational Biology

Research Anthology on Bioinformatics, Genomics, and Computational Biology
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 1509
Release: 2024-03-19
Genre: Computers
ISBN:

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In the evolving environment of bioinformatics, genomics, and computational biology, academic scholars are facing a challenging challenge – keeping informed about the latest research trends and findings. With unprecedented advancements in sequencing technologies, computational algorithms, and machine learning, these fields have become indispensable tools for drug discovery, disease research, genome sequencing, and more. As scholars strive to decode the language of DNA, predict protein structures, and navigate the complexities of biological data analysis, the need for a comprehensive and up-to-date resource becomes paramount. The Research Anthology on Bioinformatics, Genomics, and Computational Biology is a collection of a carefully curated selection of chapters that serves as the solution to the pressing challenge of keeping pace with the dynamic advancements in these critical disciplines. This anthology is designed to address the informational gap by providing scholars with a consolidated and authoritative source that sheds light on critical issues, innovative theories, and transformative developments in the field. It acts as a single reference point, offering insights into conceptual, methodological, technical, and managerial issues while also providing a glimpse into emerging trends and future opportunities.


Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
Author: Wang, Baoying
Publisher: IGI Global
Total Pages: 552
Release: 2014-10-31
Genre: Computers
ISBN: 1466666129

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As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.


Advances in Bioinformatics

Advances in Bioinformatics
Author: Vijai Singh
Publisher: Springer Nature
Total Pages: 446
Release: 2021-07-31
Genre: Science
ISBN: 9813361913

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This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinformatics tools in the development of precision medicine. This book offers a valuable source of information for not only beginners in bioinformatics, but also for students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in many areas.