Systems Analytics And Integration Of Big Omics Data
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Systems Analytics And Integration Of Big Omics Data
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Author : Gary Hardiman
language : en
Publisher: MDPI
Release Date : 2020-04-15
Systems Analytics And Integration Of Big Omics Data written by Gary Hardiman and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-15 with Science categories.
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
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Author : Gary Hardiman
language : en
Publisher:
Release Date : 2020
Systems Analytics And Integration Of Big Omics Data written by Gary Hardiman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Medicine (General) categories.
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.
Big Data Analytics In Bioinformatics And Healthcare
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Author : Baoying Wang
language : en
Publisher:
Release Date : 2014-10
Big Data Analytics In Bioinformatics And Healthcare written by Baoying Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10 with Data mining categories.
"This book 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"--
Data Integrity And Quality
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Author : Santhosh Kumar Balan
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-06-23
Data Integrity And Quality written by Santhosh Kumar Balan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Computers categories.
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.
Iot And Analytics For Agriculture
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2019-10-01
Iot And Analytics For Agriculture written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Technology & Engineering categories.
This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
Evolution Of Translational Omics
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2012-09-13
Evolution Of Translational Omics written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Science categories.
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Data Analytics In Bioinformatics
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Author : Rabinarayan Satpathy
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-20
Data Analytics In Bioinformatics written by Rabinarayan Satpathy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Computers categories.
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Genomics Of Plant Pathogen Interaction And The Stress Response
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Author : Ashutosh Mani
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Genomics Of Plant Pathogen Interaction And The Stress Response written by Ashutosh Mani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Science categories.
Plants are an indispensable part of human and animal lives for nutrition and health. But pests, diseases and abiotic stress adversely affect crop yield, which ultimately places significant pressure on society to provide food to an increasing population. Moreover, it also encourages increased chemical/pesticide usage on crops, which we see in the biomagnification of toxic and hazardous compounds polluting water bodies, soil and the environment. This condition will continue to worsen in the future due to the resistance-acquiring ability of pathogens against plant defense and chemical treatments. In addition, environmental disturbances and consumer health issues are being reported more promptly than before due to intensive use of pesticides in food production. Plant diseases affect our daily lives, as the use of insecticides and pesticides has become part of our food chain. As a result, precise disease diagnosis and management is crucial in order to avoid huge losses in plant production and related commodities. Accurate detection, precise diagnosis and proper management can play a significant role in keeping plants free from pathogens. In this book, scientists, researchers and scholars share their research knowledge, offering a valuable resource for understanding plant diseases, pathogen interaction and responses to stress through an omics perspective, contributing to further advancements in the field Diseases in plants may be caused by various factors, such as viruses, bacteria, fungi and abiotic stress. Disease causes low crop yield, production of poor-quality fruits and grains, and deficiency of nutrients, which have a direct impact on human and animal health. A genomics-based approach can be applied to disease diagnosis; disease outbreak; evolution of plant and pathogen genome for disease outbreak in relation to climate change; and development of long-term strategies for plant health and defense. This book presents an overview of omics technologies and approaches used to understand: the relation between plants and their environment in terms of diseases responses to abiotic stress the genomics of plant–pathogen interaction herbicide-resistance mechanisms the epigenetics of plant–pathogen interaction gene regulation during abiotic stress response the oxidative stress response
Integrating Artificial Intelligence Machine Learning And Big Data With Genetic Testing And Genomic Medicine To Enable Earlier Personalized Health Interventions
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Author : Sambasiva Rao Suura
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-13
Integrating Artificial Intelligence Machine Learning And Big Data With Genetic Testing And Genomic Medicine To Enable Earlier Personalized Health Interventions written by Sambasiva Rao Suura and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-13 with Computers categories.
The convergence of Artificial Intelligence (AI), Machine Learning (ML), and Big Data with genetic testing and genomic medicine marks a transformative era in healthcare. This book explores the powerful synergy among these domains and their potential to reshape the way we understand, predict, and treat disease—ushering in a new age of personalized medicine. Genomic medicine, with its promise of tailoring healthcare based on an individual's genetic profile, has made significant strides in recent years. However, the vast and complex nature of genomic data presents both opportunities and challenges. This is where AI and ML come into play—offering advanced algorithms and predictive models capable of processing enormous datasets, identifying patterns, and generating actionable insights that were previously beyond human capability. Big Data technologies further support this integration by enabling the collection, storage, and analysis of genomic, clinical, lifestyle, and environmental information at an unprecedented scale and speed. The aim of this book is to provide readers with a comprehensive understanding of how AI, ML, and Big Data are being leveraged to enhance the precision, timing, and impact of genetic testing and interventions. From identifying predispositions to chronic conditions and rare diseases, to optimizing treatment plans and monitoring patient outcomes in real-time, the potential applications are vast and growing. We explore current advancements, real-world applications, and future directions in this rapidly evolving field. Whether you are a researcher, clinician, data scientist, or policy maker, this book offers valuable insights into the opportunities and ethical considerations that lie at the intersection of technology and genomic science. By harnessing these powerful technologies, we are moving toward a future where healthcare is not only reactive but predictive and preventative—tailored to each individual at the molecular level. This is the promise of personalized medicine, and the journey begins here.
Integrative Omics
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Author : Manish Kumar Gupta
language : en
Publisher: Elsevier
Release Date : 2024-05-03
Integrative Omics written by Manish Kumar Gupta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Science categories.
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