data processing handbook for complex biological data sources

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Data Processing Handbook for Complex Biological Data Sources
Author : Gauri Misra
Publisher : Academic Press
Release Date : 2019-03-23
ISBN 10 : 0128172800
Pages : 188 pages

Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened. Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing

Handbook on Nanobiomaterials for Therapeutics and Diagnostic Applications
Author : Krishnan Anand,Muthupandian Saravanan,Balakumar Chandrasekaran,Suvardhan Kanchi,Sarojini Jeeva Panchu,Quan-Sheng Chen
Publisher : Elsevier
Release Date : 2021-03-26
ISBN 10 : 0128219149
Pages : 610 pages

Handbook of Nano-biomaterials for Therapeutics and Diagnostic Applications covers in-depth topics on nano-biomaterials and nano drug delivery systems (biosensors and bioimaging) involving polymer nanocomposites, metal nanocomposites, and other carbon family fibers and proteins. The book covers the current application of tiny machines or nanodevices and their use as early detection systems for life threatening diseases, giving detailed literature on the development of nanodevices, their use as diagnostic tools, and their present trend in the industry and market. In addition, their synthesis, potential applications and future of smart nanodevices in diagnosis of diseases and their use as smart clinical devices is covered. Users will find sections on recent advances in interdisciplinary research on the processing, morphology, structure and properties of nanostructured materials and their applications in drug delivery for various diseases such as cancer, tuberculosis, Alzheimer disease, ophthalmic diseases, and more. Offers a comprehensive coverage of the therapeutics and smart nanodevices as diagnostic tools and their potential clinical applications in biosensing and bioimaging Includes a glimpse into the nano-biomaterials that are essential components in nanomedicines Describes nanodevices in the early diagnosis of the diseases Explains the nano-drug delivery system for the treatment of various diseases, including cancer, tuberculosis, Alzheimer disease, and ophthalmic diseases Encompasses all information, starting from the design of nano-biomaterials to their applications in theranostics

Nanobiotechnology: A Multidisciplinary Field of Science
Author : Basma A. Omran
Publisher : Springer Nature
Release Date : 2020-08-25
ISBN 10 : 3030460711
Pages : 230 pages

The generation of well-defined nanoparticles of excellent size and shape involves physical and chemical methodologies that are complicated, expensive, and produce hazardous toxic waste that is harmful to the environment and to human health. In order to combat the disadvantages of these methods, scientists have created “the biological method,” a new synthetic methodology that serves as a proper alternative to physical and chemical methodologies because of its easy utility, low cost, rapid synthesis, controlled size characteristics, controlled toxicity, and eco-friendliness. Nanobiotechnology is the science in which living matter can be manipulated and exploited to produce materials within the nano-scale. It is a multidisciplinary field of science framed by biology, chemistry, engineering, materials, and life sciences. Different biological entities can be exploited to yield biologically synthesized nanomaterials including bacteria, actinomycetes, yeast, fungi, viruses, algae, plant extracts, and agro-industrial waste extracts. This book represents a comprehensive review concerning the state of the art in nanobiotechnology, emphasizing the use of diverse biological entities in the science, and its versatile applications. It describes currently existing methodology with the latest published references, and provides safety information. It serves as the ideal guide for scientists interested in exploring nanobiotechnology.

Molecular Advancements in Tropical Diseases Drug Discovery
Author : Gauri Misra,Vijay Kumar Srivastava
Publisher : Academic Press
Release Date : 2020-05-12
ISBN 10 : 0128213973
Pages : 154 pages

Molecular Advancements in Tropical Diseases Drug Discovery presents in-depth knowledge relating to the detection of infection, epidemiology, drugs against various tropical diseases, new target sites for drug discovery and multidrug resistance issues using bioinformatics tools and approaches. The book's chapters are written by experts in their respective fields so that each disease is covered in a rational manner and with a solid foundation on existing facts and prospective research ideas. Updates knowledge about tropical diseases with recent advancements in the field Presents an overview of new research covering detection, infection, epidemiology and risk factors of the most common tropical diseases using bioinformatics tools Encompasses a detailed description of developments in drug discovery, new drugs and their molecular mechanisms of action

Biological Knowledge Discovery Handbook
Author : Mourad Elloumi,Albert Y. Zomaya
Publisher : John Wiley & Sons
Release Date : 2013-12-24
ISBN 10 : 1118617118
Pages : 1192 pages

The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.

Handbook of Research on Systems Biology Applications in Medicine
Author : Daskalaki, Andriani
Publisher : IGI Global
Release Date : 2008-11-30
ISBN 10 : 1605660779
Pages : 982 pages

"This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.

Handbook of Medical Image Processing and Analysis
Author : Isaac Bankman
Publisher : Elsevier
Release Date : 2008-12-24
ISBN 10 : 9780080559148
Pages : 1000 pages

The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication. The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries. For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing. Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images

Analysis of Biological Data
Author : Sanghamitra Bandyopadhyay
Publisher : World Scientific
Release Date : 2007
ISBN 10 : 9812708898
Pages : 352 pages

Bioinformatics, a field devoted to the interpretation and analysis of biological data using computational techniques, has evolved tremendously in recent years due to the explosive growth of biological information generated by the scientific community. Soft computing is a consortium of methodologies that work synergistically and provides, in one form or another, flexible information processing capabilities for handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however, they are scattered in different journals, conference proceedings and technical reports, thus causing inconvenience to readers, students and researchers. This book, unique in its nature, is aimed at providing a treatise in a unified framework, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for analyzing biological data in an efficient manner. Interesting research articles from eminent scientists around the world are brought together in a systematic way such that the reader will be able to understand the issues and challenges in this domain, the existing ways of tackling them, recent trends, and future directions. This book is the first of its kind to bring together two important research areas, soft computing and bioinformatics, in order to demonstrate how the tools and techniques in the former can be used for efficiently solving several problems in the latter. Sample Chapter(s). Chapter 1: Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments (160 KB). Contents: Overview: Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments (H Tang & S Kim); An Introduction to Soft Computing (A Konar & S Das); Biological Sequence and Structure Analysis: Reconstructing Phylogenies with Memetic Algorithms and Branch-and-Bound (J E Gallardo et al.); Classification of RNA Sequences with Support Vector Machines (J T L Wang & X Wu); Beyond String Algorithms: Protein Sequence Analysis Using Wavelet Transforms (A Krishnan & K-B Li); Filtering Protein Surface Motifs Using Negative Instances of Active Sites Candidates (N L Shrestha & T Ohkawa); Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction (G Pollastri et al.); In Silico Design of Ligands Using Properties of Target Active Sites (S Bandyopadhyay et al.); Gene Expression and Microarray Data Analysis: Inferring Regulations in a Genomic Network from Gene Expression Profiles (N Noman & H Iba); A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure (K Deb et al.); Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines (A Gupta et al.); Sophisticated Methods for Cancer Classification Using Microarray Data (S-B Cho & H-S Park); Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data (A Mukhopadhyay et al.). Readership: Graduate students and researchers in computer science, bioinformatics, computational and molecular biology, artificial intelligence, data mining, machine learning, electrical engineering, system science; researchers in pharmaceutical industries.

Handbook of the Biology of Aging
Author : Matt Kaeberlein,George Martin
Publisher : Academic Press
Release Date : 2015-08-20
ISBN 10 : 0124116205
Pages : 576 pages

Handbook of the Biology of Aging, Eighth Edition, provides readers with an update on the rapid progress in the research of aging. It is a comprehensive synthesis and review of the latest and most important advances and themes in modern biogerontology, and focuses on the trend of ‘big data’ approaches in the biological sciences, presenting new strategies to analyze, interpret, and understand the enormous amounts of information being generated through DNA sequencing, transcriptomic, proteomic, and the metabolomics methodologies applied to aging related problems. The book includes discussions on longevity pathways and interventions that modulate aging, innovative new tools that facilitate systems-level approaches to aging research, the mTOR pathway and its importance in age-related phenotypes, new strategies to pharmacologically modulate the mTOR pathway to delay aging, the importance of sirtuins and the hypoxic response in aging, and how various pathways interact within the context of aging as a complex genetic trait, amongst others. Covers the key areas in biological gerontology research in one volume, with an 80% update from the previous edition Edited by Matt Kaeberlein and George Martin, highly respected voices and researchers within the biology of aging discipline Assists basic researchers in keeping abreast of research and clinical findings outside their subdiscipline Presents information that will help medical, behavioral, and social gerontologists in understanding what basic scientists and clinicians are discovering New chapters on genetics, evolutionary biology, bone aging, and epigenetic control Provides a close examination of the diverse research being conducted today in the study of the biology of aging, detailing recent breakthroughs and potential new directions

Handbook of Statistical Analysis and Data Mining Applications
Author : Robert Nisbet,Gary Miner,Ken Yale
Publisher : Elsevier
Release Date : 2017-11-09
ISBN 10 : 0124166458
Pages : 822 pages

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Handbook of Research on Big Data Storage and Visualization Techniques
Author : Segall, Richard S.,Cook, Jeffrey S.
Publisher : IGI Global
Release Date : 2018-01-05
ISBN 10 : 1522531432
Pages : 917 pages

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Nucleonics Handbook of Nuclear Research and Technology
Author : Nucleonics
Publisher : N.A
Release Date : 1965
ISBN 10 :
Pages : 247 pages