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Author: Ibrokhim Y. Abdurakhmonov
Publisher: BoD – Books on Demand
ISBN: 1789232686
Category : Medical
Languages : en
Pages : 190
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Book Description
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.
Author: Ibrokhim Y. Abdurakhmonov
Publisher: BoD – Books on Demand
ISBN: 1789232686
Category : Medical
Languages : en
Pages : 190
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Book Description
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.
Author: Wang, Baoying
Publisher: IGI Global
ISBN: 1466666129
Category : Computers
Languages : en
Pages : 552
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Book Description
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: Francois Ferre
Publisher: Springer Science & Business Media
ISBN: 1461241642
Category : Medical
Languages : en
Pages : 379
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Book Description
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.
Author: Ibrokhim Y. Abdurakhmonov
Publisher: BoD – Books on Demand
ISBN: 953512546X
Category : Science
Languages : en
Pages : 270
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Book Description
An interdisciplinary bioinformatics science aims to develop methodology and analysis tools to explore large-volume of biological data using conventional and modern computer science, statistics, and mathematics, as well as pattern recognition, reconstruction, machine learning, simulation and iterative approaches, molecular modeling, folding, networking, and artificial intelligence. Written by international team of life scientists, this Bioinformatics book provides some updates on bioinformatics methods, resources, approaches, and genome analysis tools useful for molecular sciences, medicine and drug designs, as well as plant sciences and agriculture. I trust chapters of this book should provide advanced knowledge for university students, life science researchers, and interested readers on some latest developments in the bioinformatics field.
Author: Maryam Javed
Publisher: Bentham Science Publishers
ISBN: 1681089262
Category : Science
Languages : en
Pages : 202
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Book Description
Introduction to Molecular Genomics introduces the college student to the fundamental concepts of molecular biology and genomics. The text puts an emphasis on important topics in the subject that contribute to the learner’s understanding. These topics include molecular genomics, biodiversity and molecular phenomenon behind evolution of species, modern molecular methods for enhanced genomics research, DNA modifications at the molecular level for transgenic animal species, the role of cell environment on the gene expression, to name a few. The book has been designed to suit the requirements of educational courses in molecular biology, genomics and biochemistry. Key features - Covers basic concepts on key topics in molecular biology and genomics - Simple easy-to-read layout - Includes references for further reading - Includes a section on ethical aspects of scientific research Introduction to Molecular Genomics is a simple primer for students in applied or advanced life science courses at undergraduate levels
Author: Sarah S. Richardson
Publisher: Duke University Press
ISBN: 0822375443
Category : Science
Languages : en
Pages : 286
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Book Description
Ten years after the Human Genome Project’s completion the life sciences stand in a moment of uncertainty, transition, and contestation. The postgenomic era has seen rapid shifts in research methodology, funding, scientific labor, and disciplinary structures. Postgenomics is transforming our understanding of disease and health, our environment, and the categories of race, class, and gender. At the same time, the gene retains its centrality and power in biological and popular discourse. The contributors to Postgenomics analyze these ruptures and continuities and place them in historical, social, and political context. Postgenomics, they argue, forces a rethinking of the genome itself, and opens new territory for conversations between the social sciences, humanities, and life sciences. Contributors. Russ Altman, Rachel A. Ankeny, Catherine Bliss, John Dupré, Michael Fortun, Evelyn Fox Keller, Sabina Leonelli, Adrian Mackenzie, Margot Moinester, Aaron Panofsky, Sarah S. Richardson, Sara Shostak, Hallam Stevens
Author: Lytras, Miltiadis D.
Publisher: IGI Global
ISBN: 1522526080
Category : Computers
Languages : en
Pages : 492
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Book Description
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: William T. Loging
Publisher: Cambridge University Press
ISBN: 0521768004
Category : Computers
Languages : en
Pages : 255
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Book Description
A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.
Author:
Publisher: Elsevier
ISBN: 0128163968
Category : Science
Languages : en
Pages : 2444
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Book Description
Comprehensive Foodomics, Three Volume Set offers a definitive collection of over 150 articles that provide researchers with innovative answers to crucial questions relating to food quality, safety and its vital and complex links to our health. Topics covered include transcriptomics, proteomics, metabolomics, genomics, green foodomics, epigenetics and noncoding RNA, food safety, food bioactivity and health, food quality and traceability, data treatment and systems biology. Logically structured into 10 focused sections, each article is authored by world leading scientists who cover the whole breadth of Omics and related technologies, including the latest advances and applications. By bringing all this information together in an easily navigable reference, food scientists and nutritionists in both academia and industry will find it the perfect, modern day compendium for frequent reference. List of sections and Section Editors: Genomics - Olivia McAuliffe, Dept of Food Biosciences, Moorepark, Fermoy, Co. Cork, Ireland Epigenetics & Noncoding RNA - Juan Cui, Department of Computer Science & Engineering, University of Nebraska-Lincoln, Lincoln, NE Transcriptomics - Robert Henry, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Australia Proteomics - Jens Brockmeyer, Institute of Biochemistry and Technical Biochemistry, University Stuttgart, Germany Metabolomics - Philippe Schmitt-Kopplin, Research Unit Analytical BioGeoChemistry, Neuherberg, Germany Omics data treatment, System Biology and Foodomics - Carlos Leon Canseco, Visiting Professor, Biomedical Engineering, Universidad Carlos III de Madrid Green Foodomics - Elena Ibanez, Foodomics Lab, CIAL, CSIC, Madrid, Spain Food safety and Foodomics - Djuro Josic, Professor Medicine (Research) Warren Alpert Medical School, Brown University, Providence, RI, USA & Sandra Kraljevic Pavelic, University of Rijeka, Department of Biotechnology, Rijeka, Croatia Food Quality, Traceability and Foodomics - Daniel Cozzolino, Centre for Nutrition and Food Sciences, The University of Queensland, Queensland, Australia Food Bioactivity, Health and Foodomics - Miguel Herrero, Department of Bioactivity and Food Analysis, Foodomics Lab, CIAL, CSIC, Madrid, Spain Brings all relevant foodomics information together in one place, offering readers a ‘one-stop,’ comprehensive resource for access to a wealth of information Includes articles written by academics and practitioners from various fields and regions Provides an ideal resource for students, researchers and professionals who need to find relevant information quickly and easily Includes content from high quality authors from across the globe
Author: Qingfeng Chen
Publisher: Springer Nature
ISBN: 9819982510
Category :
Languages : en
Pages : 396
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Book Description
