Systems Analytics And Integration Of Big Omics Data

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Systems Analytics and Integration of Big Omics Data

Gary Hardiman
Systems Analytics and Integration of Big Omics Data Book PDF

Author : Gary Hardiman
Publisher : MDPI
Page : 202 pages
File Size : 48,8 Mb
Release : 2020-04-15
Category : Science
ISBN : 9783039287444

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Systems Analytics and Integration of Big Omics Data by Gary Hardiman Pdf

A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Systems Analytics and Integration of Big Omics Data

Gary Hardiman
Systems Analytics and Integration of Big Omics Data Book PDF

Author : Gary Hardiman
Publisher : Unknown
Page : 202 pages
File Size : 40,9 Mb
Release : 2020
Category : Medicine (General)
ISBN : 3039287451

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Systems Analytics and Integration of Big Omics Data by Gary Hardiman Pdf

A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene-environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Data Integrity and Quality

Santhosh Kumar Balan
Data Integrity and Quality Book PDF

Author : Santhosh Kumar Balan
Publisher : BoD – Books on Demand
Page : 154 pages
File Size : 54,9 Mb
Release : 2021-06-23
Category : Computers
ISBN : 9781839687983

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Data Integrity and Quality by Santhosh Kumar Balan Pdf

Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of qualitative or quantitative pieces of information. Over five sections, this book discusses data integrity and data quality as well as their applications in various fields.

Reverse Engineering of Regulatory Networks

Sudip Mandal
Reverse Engineering of Regulatory Networks Book PDF

Author : Sudip Mandal
Publisher : Springer Nature
Page : 331 pages
File Size : 47,5 Mb
Release : 2023-11-07
Category : Technology & Engineering
ISBN : 9781071634615

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Reverse Engineering of Regulatory Networks by Sudip Mandal Pdf

This volume details the development of updated dry lab and wet lab based methods for the reconstruction of Gene regulatory networks (GRN). Chapters guide readers through culprit genes, in-silico drug discovery techniques, genome-wide ChIP-X data, high-Throughput Transcriptomic Data Exome Sequencing, Next-Generation Sequencing, Fuorescence Spectroscopy, data analysis in Bioinformatics, Computational Biology, and S-system based modeling of GRN. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Reverse Engineering of Regulatory Networks aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.

Integrative Omics

Manish Kumar Gupta,Pramod Katara,Sukanta Mondal,Ram Lakhan Singh
Integrative Omics Book PDF

Author : Manish Kumar Gupta,Pramod Katara,Sukanta Mondal,Ram Lakhan Singh
Publisher : Elsevier
Page : 434 pages
File Size : 46,7 Mb
Release : 2024-05-10
Category : Science
ISBN : 9780443160936

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Integrative Omics by Manish Kumar Gupta,Pramod Katara,Sukanta Mondal,Ram Lakhan Singh Pdf

Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic ‘step by step’ manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science. The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to ‘translational research’, i.e., drug discovery, drug target prediction, and precision medicine Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways

Information and Communication Technology for Intelligent Systems

Tomonobu Senjyu,Parikshit N. Mahalle,Thinagaran Perumal,Amit Joshi
Information and Communication Technology for Intelligent Systems Book PDF

Author : Tomonobu Senjyu,Parikshit N. Mahalle,Thinagaran Perumal,Amit Joshi
Publisher : Springer Nature
Page : 756 pages
File Size : 48,7 Mb
Release : 2020-10-21
Category : Technology & Engineering
ISBN : 9789811570780

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Information and Communication Technology for Intelligent Systems by Tomonobu Senjyu,Parikshit N. Mahalle,Thinagaran Perumal,Amit Joshi Pdf

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Big Data Analytics in Bioinformatics and Healthcare

Wang, Baoying
Big Data Analytics in Bioinformatics and Healthcare Book PDF

Author : Wang, Baoying
Publisher : IGI Global
Page : 528 pages
File Size : 51,6 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.

Big Data in Psychiatry and Neurology

Ahmed Moustafa
Big Data in Psychiatry and Neurology Book PDF

Author : Ahmed Moustafa
Publisher : Academic Press
Page : 386 pages
File Size : 51,7 Mb
Release : 2021-06-11
Category : Medical
ISBN : 9780128230022

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Big Data in Psychiatry and Neurology by Ahmed Moustafa Pdf

Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics

Big Data Analytics and Intelligence

Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Big Data Analytics and Intelligence Book PDF

Author : Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Publisher : Emerald Group Publishing
Page : 252 pages
File Size : 48,8 Mb
Release : 2020-09-30
Category : Business & Economics
ISBN : 9781839091018

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Big Data Analytics and Intelligence by Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal Pdf

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Integrating Omics Data

George Tseng,Debashis Ghosh,Xianghong Jasmine Zhou
Integrating Omics Data Book PDF

Author : George Tseng,Debashis Ghosh,Xianghong Jasmine Zhou
Publisher : Cambridge University Press
Page : 497 pages
File Size : 55,7 Mb
Release : 2015-09-23
Category : Mathematics
ISBN : 9781107069114

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Integrating Omics Data by George Tseng,Debashis Ghosh,Xianghong Jasmine Zhou Pdf

Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.

Big Data Analytics

Naveen Kumar,Vasudha Bhatnagar
Big Data Analytics Book PDF

Author : Naveen Kumar,Vasudha Bhatnagar
Publisher : Springer
Page : 267 pages
File Size : 46,5 Mb
Release : 2015-11-24
Category : Computers
ISBN : 9783319270579

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Big Data Analytics by Naveen Kumar,Vasudha Bhatnagar Pdf

This book constitutes the refereed conference proceedings of the Fourth International Conference on Big Data Analytics, BDA 2015, held in Hyderabad, India, in December 2015. The 9 revised full papers and 9 invited papers were carefully reviewed and selected from 61 submissions and cover topics on big data: security and privacy; big data in commerce; big data: models and algorithms; and big data in medicine.

Big Data Analytics for Healthcare

Pantea Keikhosrokiani
Big Data Analytics for Healthcare Book PDF

Author : Pantea Keikhosrokiani
Publisher : Academic Press
Page : 356 pages
File Size : 43,6 Mb
Release : 2022-05-19
Category : Medical
ISBN : 9780323985161

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Big Data Analytics for Healthcare by Pantea Keikhosrokiani Pdf

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems

Omics Approaches and Technologies in COVID-19

Debmalya Barh,Vasco Ariston De Car Azevedo
Omics Approaches and Technologies in COVID 19 Book PDF

Author : Debmalya Barh,Vasco Ariston De Car Azevedo
Publisher : Academic Press
Page : 464 pages
File Size : 41,8 Mb
Release : 2022-12-01
Category : Medical
ISBN : 9780323986212

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Omics Approaches and Technologies in COVID-19 by Debmalya Barh,Vasco Ariston De Car Azevedo Pdf

The COVID-19 pandemic has affected the entire world in an unprecedented way since 2019. However, novel and innovative applications of various omics, computational, and smart technologies have helped manage the pandemic of the 21st century in a very effective manner. Omics approaches and technologies in COVID-19 presents up-to-date knowledge on omics, genetic engineering, mathematical and computational approaches, and advanced technologies in the diagnosis, prevention, monitoring, and management of COVID-19. This book contains 26 chapters written by academic and industry experts from more than 15 countries. Split into three sections (Omics; Artificial Intelligence and Bioinformatics; and Smart and Emerging Technologies), it brings an overview of novel technologies under omics such as, genomic, metagenomic, pangenomic, metabolomics and proteomics in COVID-19. In addition, it discusses hostpathogen interactions and interactomics, management options, application of genetic engineering, mathematical modeling andsimulations, systems biology, and bioinformatics approaches in COVID-19 drug discovery and vaccine development. This is a valuable resource for students, biotechnologists, bioinformaticians, virologists, clinicians, and pharmaceutical, biomedical, and healthcare industry people who want to understand the promising omics and other technologies used in combating COVID-19 from various aspects. Provides novel technologies for rapid diagnostics, drug discovery, vaccine development, monitoring, prediction of future waves, etc. Describes various omics applications including genomics, metagenomics, epigenomics, nutrigenomics, transcriptomics,miRNAomics, proteomics, metabolomics, phenomics, multiomics, etc., in COVID-19 Presents applications of genetic engineering, CRISPR, artificial intelligence, mathematical and in silico modeling, systems biology,and other computational approaches in COVID-19 Discusses emerging, digital, and smart technologies for the monitoring and management of COVID-19

Smart Health Systems

Sonali Vyas,Deepshikha Bhargava
Smart Health Systems Book PDF

Author : Sonali Vyas,Deepshikha Bhargava
Publisher : Springer Nature
Page : 131 pages
File Size : 40,6 Mb
Release : 2021-08-24
Category : Medical
ISBN : 9789811642012

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Smart Health Systems by Sonali Vyas,Deepshikha Bhargava Pdf

The upcoming trends in healthcare are intended towards improving the overall quality of life. In the past,management of health issues were limited to clinics and hospitals and managing patient’s data and analyzing it. This procedure was difficult and time consuming. A great effort was also needed in diagnosing the cause and type of disease, but this all has changed now. As advancement in research and technologies, a positive impact on healthcare is seen. This book assesses the need and era of smart healthcare and delivers content relevant to current age and time. It describes the trend, usage and practicality of IWMDs i.e. Wearable Medical Device or Sensors (WMSs) and Implantable Medical Devices (IMDs) and how they enhance the awareness of daily healthcare.It establishes a relation and conjunction of daily healthcare monitoring with clinical healthcare. A healthcare system is called smart when there is an ability to make decisions, which comes from data analytics. Smart healthcare systems possess capability of data analytics and IoT based services which can be implemented on smart phones using cloud technology. This book discusses various research trends and technologies related to innovations and advancements for smart healthcare systems. It also elaborates challenges, scope upcoming techniques, devices and future directions for smart healthcare systems.The proposed book would in particular benefit researchers interested in interdisciplinary sciences, It would also be of value to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives.

Applying Big Data Analytics in Bioinformatics and Medicine

Lytras, Miltiadis D.,Papadopoulou, Paraskevi
Applying Big Data Analytics in Bioinformatics and Medicine Book PDF

Author : Lytras, Miltiadis D.,Papadopoulou, Paraskevi
Publisher : IGI Global
Page : 465 pages
File Size : 42,7 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.