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Author: Joseph Seckbach
Publisher: Springer Science & Business Media
ISBN: 1402028342
Category : Science
Languages : en
Pages : 276
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Book Description
Bioinformatics has ignited the imagination of scientists, entrepreneurs and the general public. At the meeting place of two fast growth disciplines, biology and computer science Bioinformatics is one of the cornerstones of the new biology. It is clearly pivotal to the translation of high throughput projects such the human genome project into useful knowledge. Yet despite all this attention, there is no consensus on what exactly is Bioinformatics. There are several canonical topics, such as gene structure prediction, protein functional classification or structure prediction. The present book explores new frontiers in bioinformatics, such as Glycomics or the computational modeling of genetic processes. We also discuss confounding factors that we find crucial to the development of the field, such as the ability to protect and restrict intellectual property in the field, or the challenges involved in educating bioinformatics users. Finally, we touch upon some fundamental questions, such as what information is and how it is captured in biological systems. By bringing to the readers such a broad spectrum of reviews, we hope to capture the vibrant spirit of this young science and to truly represent the fast pace with which it is still developing.
Author: Joseph Seckbach
Publisher: Springer Science & Business Media
ISBN: 1402028342
Category : Science
Languages : en
Pages : 276
Get Book Here
Book Description
Bioinformatics has ignited the imagination of scientists, entrepreneurs and the general public. At the meeting place of two fast growth disciplines, biology and computer science Bioinformatics is one of the cornerstones of the new biology. It is clearly pivotal to the translation of high throughput projects such the human genome project into useful knowledge. Yet despite all this attention, there is no consensus on what exactly is Bioinformatics. There are several canonical topics, such as gene structure prediction, protein functional classification or structure prediction. The present book explores new frontiers in bioinformatics, such as Glycomics or the computational modeling of genetic processes. We also discuss confounding factors that we find crucial to the development of the field, such as the ability to protect and restrict intellectual property in the field, or the challenges involved in educating bioinformatics users. Finally, we touch upon some fundamental questions, such as what information is and how it is captured in biological systems. By bringing to the readers such a broad spectrum of reviews, we hope to capture the vibrant spirit of this young science and to truly represent the fast pace with which it is still developing.
Author: J Howard Parish
Publisher: Garland Science
ISBN: 1134158866
Category : Science
Languages : en
Pages : 564
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Book Description
The second edition of Instant Notes in Bioinformatics introduced the readers to the themes and terminology of bioinformatics. It is divided into three parts: the first being an introduction to bioinformatics in biology; the second covering the physical, mathematical, statistical and computational basis of bioinformatics, using biological examples wherever possible; the third describing applications, giving specific detail and including data standards. The applications covered are sequence analysis and annotation, transcriptomics, proteomics, metabolite study, supramolecular organization, systems biology and the integration of-omic data, physiology, image analysis, and text analysis.
Author: Donna Johnson
Publisher: Taylor & Francis
ISBN: 1040048234
Category : Education
Languages : en
Pages : 200
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Book Description
This book confronts the continually evolving nature of biomedical science education by providing a robust account of learning pedagogies and best practice for scholars and researchers in the field. Rather than considering subdisciplines of biomedical science education separately, the volume takes a holistic approach and considers the complexities of teaching biomedical science as a whole, providing a nuanced overview of how a particular practice fits in such a course overall, as well as providing support for development within the reader’s own subdiscipline. Ultimately, this holistic approach allows for expansive discussion of relevant pedagogical approaches that will directly inform innovations in the contemporary teaching of biomedical science education. Novel in approach and underpinned by the latest in research innovations, this book will appeal to scholars, researchers and postgraduate students in the fields of medical education, higher education, and curriculum studies. Policy makers involved with health education and promotion as well as educational research will also benefit from the volume.
Author: Khalid Rehman Hakeem
Publisher: Springer
ISBN: 3319671561
Category : Science
Languages : en
Pages : 465
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Book Description
This book: (i) introduces fundamental and applied bioinformatics research in the field of plant life sciences; (ii) enlightens the potential users towards the recent advances in the development and application of novel computational methods available for the analysis and integration of plant -omics data; (iii) highlights relevant databases, softwares, tools and web resources developed till date to make ease of access for researchers working to decipher plant responses towards stresses; and (iv) presents a critical cross-talks on the available high-throughput data in plant research. Therefore, in addition to being a reference for the professional researchers, it is also of great interest to students and their professors. Considering immense significance of plants for all lives on Earth, the major focus of research in plant biology has been to: (a) select plants that best fit the purposes of human, (b) develop crop plants superior in quality, quantity and farming practices when compared to natural (wild) plants, and (c) explore strategies to help plants to adapt biotic and abiotic/environmental stress factors. Accordingly the development of novel techniques and their applications have increased significantly in recent years. In particular, large amount of biological data have emerged from multi-omics approaches aimed at addressing numerous aspects of the plant systems under biotic or abiotic stresses. However, even though the field is evolving at a rapid pace, information on the cross-talks and/or critical digestion of research outcomes in the context of plant bioinformatics is scarce. “Plant Bioinformatics: Decoding the Phyta” is aimed to bridge this gap.
Author: Vijai Singh
Publisher: Springer Nature
ISBN: 9819984017
Category :
Languages : en
Pages : 365
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Book Description
Author: Mourad Elloumi
Publisher: John Wiley & Sons
ISBN: 1118101987
Category : Science
Languages : en
Pages : 1027
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Book Description
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 1509
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Book Description
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.
Author: Klaus Buchholz
Publisher: John Wiley & Sons
ISBN: 3527691111
Category : Science
Languages : en
Pages : 453
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Book Description
Adopting a unique approach, this novel textbook integrates science and business for an inside view on the biotech industry. Peering behind the scenes, it provides a thorough analysis of the foundations of the present day industry for students and professionals alike: its history, its tools and processes, its markets and products. The authors, themselves close witnesses of the emergence of modern biotechnology from its very beginnings in the 1980s, clearly separate facts from fiction, looking behind the exaggerated claims made by start-up companies trying to attract investors. Essential reading for every student and junior researcher looking for a career in the biotech sector.
Author: Norberto Peporine Lopes
Publisher: Royal Society of Chemistry
ISBN: 1788013468
Category : Science
Languages : en
Pages : 312
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Book Description
Mass spectrometry is one of the most widespread technologies in chemistry and has been increasingly used in biology with the rise of omics sciences. This book summarizes some important methodological approaches in mass spectrometry and applications in the field of chemical biology. The core chapters build on basic concepts introduced in the opening chapter and explore established fields such as high throughput screening, proteomics and metabolomics. Emerging applications of mass spectrometry in elucidating biosynthetic pathways, enzyme mechanisms and protein-protein interactions are then presented. Connections between these diverse research fields are highlighted throughout. The book concludes with a discussion of databases and future perspectives. This book will be a useful tool to early chemical biology researchers wishing to incorporate mass spectrometry as a tool in their research.
Author: Abhirup Khanna
Publisher: John Wiley & Sons
ISBN: 1394234171
Category : Computers
Languages : en
Pages : 737
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Book Description
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
