Big Data Analytics In Chemoinformatics And Bioinformatics

Author : Subhash C. Basak,Marjan Vračko
Publisher : Elsevier
Page : 503 pages
File Size : 41,7 Mb
Release : 2022-12-06
Category : Science
ISBN : 9780323857147

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Big Data Analytics in Chemoinformatics and Bioinformatics by Subhash C. Basak,Marjan Vračko Pdf

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information. Brings together the current knowledge on the most important aspects of big data, including analysis using deep learning and fuzzy logic, transparency and data protection, disparate data analytics, and scalability of the big data domain Covers many applications of big data analysis in diverse fields such as chemistry, chemoinformatics, bioinformatics, computer-assisted drug/vaccine design, characterization of emerging pathogens, and environmental protection Highlights the considerable benefits offered by big data analytics to science, in biomedical fields and in industry

Author : Wang, Baoying
Publisher : IGI Global
Page : 528 pages
File Size : 53,8 Mb
Release : 2014-10-31
Category : Computers
ISBN : 9781466666122

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Big Data Analytics in Bioinformatics and Healthcare by Wang, Baoying Pdf

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.

Author : Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush
Publisher : Springer
Page : 137 pages
File Size : 51,9 Mb
Release : 2018-09-08
Category : Technology & Engineering
ISBN : 9789811305443

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Computational Intelligence and Big Data Analytics by Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush Pdf

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Author : Ümit Demirbaga
Publisher : Springer Nature
Page : 299 pages
File Size : 46,5 Mb
Release : 2024-06-27
Category : Electronic
ISBN : 9783031556395

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Big Data Analytics by Ümit Demirbaga Pdf

Author : Yashwant V. Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadan K. Patel,Jigna Bhupendra Prajapati
Publisher : CRC Press
Page : 224 pages
File Size : 50,9 Mb
Release : 2023-11-14
Category : Science
ISBN : 9781000996043

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Ethical Issues in AI for Bioinformatics and Chemoinformatics by Yashwant V. Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadan K. Patel,Jigna Bhupendra Prajapati Pdf

This unique volume presents AI in relation to ethical points of view in handling big data sets. Issues such as algorithmic biases, discrimination for specific patterns and privacy breaches may sometimes be skewed to affect research results so that certain fields to appear more appealing to funding agencies. The discussion on the ethics of AI is highly complex due to the involvement of many international stakeholders such as the UN, OECD, parliaments, industry groups, professional bodies, and individual companies. The issue of reliability is addressed including the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots and cyber security tools. Features Discusses artificial intelligence and ethics, the challenges and opportunities Presents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security tools Ethical responsibility and reasoning for using AI in Big Data Addresses practicing medicine and ethical issues when applying artificial intelligence

Author : Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati
Publisher : CRC Press
Page : 275 pages
File Size : 45,6 Mb
Release : 2023-10-11
Category : Science
ISBN : 9781000952759

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Artificial Intelligence in Bioinformatics and Chemoinformatics by Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati Pdf

The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Features Covers AI applications in bioinformatics and chemoinformatics Demystifies the involvement of AI in generating biological and chemical data Provides an Introduction to basic and advanced chemoinformatics computational tools Presents a chemical biology based toolset for artificial intelligence usage in drug design Discusses computational methods in cancer, genome mapping, and stem cell research

Author : Ka-Chun Wong
Publisher : Springer
Page : 428 pages
File Size : 51,5 Mb
Release : 2016-10-24
Category : Computers
ISBN : 9783319412795

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Big Data Analytics in Genomics by Ka-Chun Wong Pdf

This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.

Author : SUJATA. DASH
Publisher : Unknown
Page : 0 pages
File Size : 51,5 Mb
Release : 2023
Category : Electronic
ISBN : 9798886976

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ADVANCES IN BIOINFORMATICS AND BIG DATA ANALYTICS. by SUJATA. DASH Pdf

Author : Navneet Sharma,Himanshu Ojha,Pawan Raghav,Ramesh K. Goyal
Publisher : Academic Press
Page : 510 pages
File Size : 47,7 Mb
Release : 2021-05-21
Category : Business & Economics
ISBN : 9780128217474

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Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences by Navneet Sharma,Himanshu Ojha,Pawan Raghav,Ramesh K. Goyal Pdf

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process. This book will be useful to pharmaceutical science researchers and students who need basic knowledge of computational techniques relevant to their projects. Bioscientists, bioinformaticians, computational scientists, and other stakeholders from industry and academia will also find this book helpful. Provides practical information on how to choose and use appropriate computational tools Presents the wide, intersecting fields of chemo-bio-informatics in an easily-accessible format Explores the fundamentals of the emerging field of chemoinformatics and bioinformatics

Author : Rishabha Malviya,Dr. Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 0 pages
File Size : 48,9 Mb
Release : 2022-08-09
Category : Electronic
ISBN : 103212931X

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Bioinformatics Tools and Big Data Analytics for Patient Care by Rishabha Malviya,Dr. Pramod Kumar Sharma,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

This book describe the applications of bioinformatics, data management and computational techniques in clinical studies and drug discovery for patient care. It gives details about the recent developments in the fields of artificial intelligence, cloud computing and data analytics for improved patient care.

Author : Lytras, Miltiadis D.,Papadopoulou, Paraskevi
Publisher : IGI Global
Page : 465 pages
File Size : 40,5 Mb
Release : 2017-06-16
Category : Computers
ISBN : 9781522526087

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Applying Big Data Analytics in Bioinformatics and Medicine by Lytras, Miltiadis D.,Papadopoulou, Paraskevi Pdf

Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens. Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

Author : Shui Qing Ye
Publisher : CRC Press
Page : 208 pages
File Size : 48,9 Mb
Release : 2016-01-13
Category : Computers
ISBN : 9781040056905

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Big Data Analysis for Bioinformatics and Biomedical Discoveries by Shui Qing Ye Pdf

Demystifies Biomedical and Biological Big Data AnalysesBig Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implem

Author : Satyajit Dey Sarker,Lutfun Nahar
Publisher : Elsevier
Page : 532 pages
File Size : 53,6 Mb
Release : 2024-03-15
Category : Science
ISBN : 9780443161032

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Computational Phytochemistry by Satyajit Dey Sarker,Lutfun Nahar Pdf

Computational Phytochemistry, Second Edition, explores how recent advances in computational techniques and methods have been embraced by phytochemical researchers to enhance many of their operations, refocusing and expanding the possibilities of phytochemical studies. By applying computational aids and mathematical models to extraction, isolation, structure determination, and bioactivity testing, researchers can obtain highly detailed information about phytochemicals and optimize working approaches. This book aims to support and encourage researchers currently working with or looking to incorporate computational methods into their phytochemical work. Topics in this book include computational methods for predicting medicinal properties, optimizing extraction, isolating plant secondary metabolites, and building dereplicated phytochemical libraries. The roles of high-throughput screening, spectral data for structural prediction, plant metabolomics, and biosynthesis are all reviewed before the application of computational aids for assessing bioactivities and virtual screening is discussed. Illustrated with detailed figures and supported by practical examples, this book is an indispensable guide for all those involved with the identification, extraction, and application of active agents from natural products. This new edition captures remarkable advancements in mathematical modeling and computational methods that have been incorporated in phytochemical research, addressing, e.g., extraction, isolation, structure determination, and bioactivity testing of phytochemicals. Includes step-by-step protocols for various computational and mathematical approaches applied to phytochemical research Features clearly illustrated chapters contributed by highly reputable researchers Covers all key areas in phytochemical research, including virtual screening and metabolomics

Author : Anonim
Publisher : Elsevier
Page : 3421 pages
File Size : 43,8 Mb
Release : 2018-08-21
Category : Medical
ISBN : 9780128114322

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Encyclopedia of Bioinformatics and Computational Biology by Anonim Pdf

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Author : Shah, Imdad Ali,Sial, Quratulain
Publisher : IGI Global
Page : 389 pages
File Size : 41,8 Mb
Release : 2024-04-26
Category : Medical
ISBN : 9798369323342

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Advances in Computational Intelligence for the Healthcare Industry 4.0 by Shah, Imdad Ali,Sial, Quratulain Pdf

In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.