Download Full eBooks in PDF
Integrative Omics Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Integrative Omics book. This book definitely worth reading, it is an incredibly well-written.
Author : Anonim
Publisher : Unknown
Page : 178 pages
File Size : 55,8 Mb
Release : 2021-12-13
Category : Science
ISBN : 3036525823
Author : Preeti Arivaradarajan,Gauri Misra
Publisher : Springer
Page : 148 pages
File Size : 45,7 Mb
Release : 2019-02-04
Category : Science
ISBN : 9789811329258
This book is a concerted effort to put together the rapidly growing facets of biological data. It provides a platform for the readers to think about integrative approaches to solve complex biological problems. This fundamental book deals with the simplest concepts of omics to recent advancements in the field. The content is divided into seven chapters that provide insight into various omics approaches, omics technologies, and its applications. Each chapter delves into different molecular scales: genomics, transcriptomics, proteomics, and metabolomics. Further to provide a holistic view a chapter detailing microbiome has been included in the book. The sub-sections in the chapters is dedicated to introducing the various analytical tools such as next generation sequencing, chromatin immunoprecipitation, mass spectrometry, peptide mass fingerprinting, RNA Seq and NMR spectroscopy. It entails a chapter focused on the bioinformatics resources for analysis of the omics data. In summary, this comprehensive book emphasizes the recent advancements in the study of biomolecules spanning from DNA to metabolites.
Author : Manish Kumar Gupta,Pramod Katara,Sukanta Mondal,Ram Lakhan Singh
Publisher : Elsevier
Page : 434 pages
File Size : 41,6 Mb
Release : 2024-05-10
Category : Science
ISBN : 9780443160936
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
Author : George Tseng,Debashis Ghosh,Xianghong Jasmine Zhou
Publisher : Cambridge University Press
Page : 497 pages
File Size : 45,6 Mb
Release : 2015-09-23
Category : Mathematics
ISBN : 9781107069114
Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.
Author : Saif Hameed,Zeeshan Fatima
Publisher : Springer Nature
Page : 538 pages
File Size : 53,9 Mb
Release : 2021-07-18
Category : Medical
ISBN : 9789811606915
This book examines applications of multi-omics approaches for understanding disease etiology, pathogenesis, host-pathogen interactions. It also analyzes the genetics, immunological and metabolic mechanisms underlying the infections. The book also explores genomics, transcriptomics, translational-omics, and metabolomics approaches to understand the pathogenesis and identify potential drug targets. It reviews the role of epigenetic reprogramming in shaping the host-pathogen interactions and presents bioinformatics application in the identification of drug targets. Further, it examines the potential applications of RNA sequencing and non-coding RNA profiling to identify the pathogenesis. Lastly, it offers the current challenges, technological advances, and prospects of using multi-omics technologies in infectious biology.
Author : Tingyun Kuang,Xuchu Wang,Xiaochun Qin,Shaojun Dai,Pingfang Yang,Ling Li
Publisher : MDPI
Page : 558 pages
File Size : 44,6 Mb
Release : 2020-05-22
Category : Science
ISBN : 9783039219605
Integrative omics of plants in response to stress conditions play more crucial roles in the post-genomic era. High-quality genomic data provide more deeper understanding of how plants to survive under environmental stresses. This book is focused on concluding the recent progress in the Protein and Proteome Atlas in plants under different stresses. It covers various aspects of plant protein ranging from agricultural proteomics, structure and function of proteins, and approaches for protein identification and quantification. A total of 27 papers including two timely reviews have contributed to this Special Issue. In the first part with the topic of “Comparative Proteomics of Different Plants”, six papers were included to describe the phenotypic changes and proteomic analyses of different plants under different conditions. Then, another six papers with the topic of “Proteomics of Plants under Osmotic Stress” were included to describe the recent comparative proteomics analyses of plants under osmotic stress, particularly the drought and salinity stresses in leaves of certain plant species. The other proteomics studies on several energy plants and economic crops were reported to demonstrate the recent omics studies on different plants during their development processes. More stress responsive genes and proteins in these plants were identified. These target genes and proteins are important candidates for further functional validation in economic plants and crops.
Author : Shailza Singh
Publisher : Springer
Page : 259 pages
File Size : 43,7 Mb
Release : 2018-10-01
Category : Medical
ISBN : 9789811086939
The book uses an integrated approach to predict the behavior of various biological interactions. It further discusses how synthetic biology gathers the information about various systems, in order to either devise an entirely new system, or, to modulate existing systems. The book also tackles the concept of modularity, where biological systems are visualized in terms of their parts. The chapters discuss how the principles of engineering are being used in biomedical sciences, to design biological circuits that can harbor multiple inputs and generate multiple outputs; to create genetic networks and control gene activity, in order to generate a desired response. The book aims to help the readers develop an array of biological parts, and to use these parts to develop synthetic circuits that can be assembled like electronic circuits. The ultimate aim of the book will be to serve as an amalgamation of key ideas of how judiciously synthetic biology could be exploited in therapeutic device and delivery mechanism.
Author : Momiao Xiong
Publisher : CRC Press
Page : 400 pages
File Size : 55,6 Mb
Release : 2018-06-14
Category : Mathematics
ISBN : 9781351172622
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), genome-wide expression studies (GWES), and epigenome-wide association studies (EWAS), the overall contribution of the new identified genetic variants is small and a large fraction of genetic variants is still hidden. Understanding the etiology and causal chain of mechanism underlying complex diseases remains elusive. It is time to bring big data, machine learning and causal revolution to developing a new generation of genetic analysis for shifting the current paradigm of genetic analysis from shallow association analysis to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism of complex diseases. FEATURES Provides a natural extension and companion volume to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference theory to genomic, epigenomic and imaging data analysis Develop novel statistics for genome-wide causation studies and epigenome-wide causation studies. Bridge the gap between the traditional association analysis and modern causation analysis Use combinatorial optimization methods and various causal models as a general framework for inferring multilevel omic and image causal networks Present statistical methods and computational algorithms for searching causal paths from genetic variant to disease Develop causal machine learning methods integrating causal inference and machine learning Develop statistics for testing significant difference in directed edge, path, and graphs, and for assessing causal relationships between two networks The book is designed for graduate students and researchers in genomics, epigenomics, medical image, bioinformatics, and data science. Topics covered are: mathematical formulation of causal inference, information geometry for causal inference, topology group and Haar measure, additive noise models, distance correlation, multivariate causal inference and causal networks, dynamic causal networks, multivariate and functional structural equation models, mixed structural equation models, causal inference with confounders, integer programming, deep learning and differential equations for wearable computing, genetic analysis of function-valued traits, RNA-seq data analysis, causal networks for genetic methylation analysis, gene expression and methylation deconvolution, cell –specific causal networks, deep learning for image segmentation and image analysis, imaging and genomic data analysis, integrated multilevel causal genomic, epigenomic and imaging data analysis.
Author : Debmalya Barh
Publisher : Springer
Page : 545 pages
File Size : 42,8 Mb
Release : 2014-10-13
Category : Medical
ISBN : 9788132208433
Breast cancer is the most common cancer in females that accounts for highest cancer specific deaths worldwide. In the last few decades research has proven that breast cancer can be treated if diagnosed at early stages and proper therapeutic strategy is adopted. Omics-based recent approaches have unveiled the molecular mechanism behind the breast tumorigenesis and aid in identification of next-generation molecular markers for early diagnosis, prognosis and even the effective targeted therapy. Significant development has taken place in the field of omics in breast cancer in the last decade. The most promising omics approaches and their outcomes in breast cancer have been presented in this book for the first time. The book covers omics technologies and budding fields such as breast cancer miRNA, lipidomics, epigenomics, proteomics, nutrigenomics, stem cell, pharmacogenomics and personalized medicine and many more along with conventional topics such as breast cancer management etc. It is a research-based reference book useful for clinician-scientists, researchers, geneticists and health care industries involved in various aspects of breast cancer. The book will also be useful for students of biomedicine, pathology and pharmacy.
Author : Sudipto Saha,Sreyashi Majumdar,Parthasarathi Bhattacharyya
Publisher : Springer Nature
Page : 411 pages
File Size : 43,8 Mb
Release : 2023-12-03
Category : Medical
ISBN : 9789819935055
This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.
Author : Debmalya Barh,Kenneth Blum,Margaret A. Madigan
Publisher : CRC Press
Page : 622 pages
File Size : 53,8 Mb
Release : 2016-04-19
Category : Medical
ISBN : 9781439850091
A reflection of the explosion of research and development in this field, OMICS: Biomedical Perspectives and Applications explores applications of omics in bioinformatics, cancer research and therapy, diabetes research, plant science, molecular biology, and neurosciences. A select editorial panel of experts discusses their cutting edge omics research and novel technologies, supplying a basic platform of methods and applications and a resource for enhanced cross-pollination in a multiomics approach to future endeavors in the fertile fields of omics research. After an introduction on the omics universe, the book presents modern omics and its applications in nanotechnology, genomics, proteomics, metagenomics, toxicogenomics, immunomics, nutrigenomics, diabetes, neurology, cardiology, and cancer to name just a few. The book begins with an overview of omics and omic technologies such as cellomics, glycomics, and lipidomics. It also discusses bioinformatics, demonstrating how it can be a tool in omics, and examines the various approaches of omics technology in toxicology research and applications in biomedical sciences. While there are a long list of omics books available, most focus narrowly on one area. Presenting a wide view of the current status of integrative omics, this resource contains complete coverage of omics in research and therapy, ranging from neuroscience to cardiology. It collates recent developments in the field into a state-of-the-art framework for this discipline.
Author : Vijai Singh
Publisher : Springer Nature
Page : 365 pages
File Size : 55,6 Mb
Release : 2024-06-17
Category : Electronic
ISBN : 9789819984015
Author : Ornella Cominetti,Sergio Oller Moreno,Sumeet Agarwal
Publisher : Frontiers Media SA
Page : 184 pages
File Size : 48,8 Mb
Release : 2023-05-12
Category : Science
ISBN : 9782832523421
Author : Xuewu Zhang
Publisher : CRC Press
Page : 150 pages
File Size : 42,8 Mb
Release : 2011-03-10
Category : Science
ISBN : 9781498714006
The early detection of human cancer is still one of the great challenges in the battle against this disease. Single biomarkers are not likely to provide sufficient diagnostic power and multibiomarker assays should be developed in order to reach high diagnostic accuracy for cancer screening at the population level. Omics technologies are emerging ne
Author : Kang Ning
Publisher : Springer Nature
Page : 173 pages
File Size : 43,6 Mb
Release : 2023-01-15
Category : Medical
ISBN : 9789811982101
This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
