Data Processing Handbook for Complex Biological Data Sources

Data Processing Handbook for Complex Biological Data Sources PDF Author: Gauri Misra
Publisher: Academic Press
ISBN: 0128172800
Category : Science
Languages : en
Pages : 191

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Book Description
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

Data Processing Handbook for Complex Biological Data Sources

Data Processing Handbook for Complex Biological Data Sources PDF Author: Gauri Misra
Publisher: Academic Press
ISBN: 0128172800
Category : Science
Languages : en
Pages : 191

Get Book Here

Book Description
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 of Biological Data

Handbook of Biological Data PDF Author: William S. Spector
Publisher:
ISBN:
Category : Biology
Languages : en
Pages : 634

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Book Description
"Presents tabular data and certain graphs, charts, and diagrams in the broad general areas of plant, animal, and pre-clinical medical sciences"--Intro.

Handbook of Biological Data

Handbook of Biological Data PDF Author: National Research Council (U.S.). Division of Biology and Agriculture. Committee on the Handbook of Biological Data
Publisher:
ISBN:
Category : Biology
Languages : en
Pages : 584

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Book Description


The Analysis of Biological Data

The Analysis of Biological Data PDF Author: Michael C. Whitlock
Publisher: Macmillan Higher Education
ISBN: 1319226299
Category : Mathematics
Languages : en
Pages : 2074

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Book Description
The Analysis of Biological Data provides students with a practical foundation of statistics for biology students. Every chapter has several biological or medical examples of key concepts, and each example is prefaced by a substantial description of the biological setting. The emphasis on real and interesting examples carries into the problem sets where students have dozens of practice problems based on real data. The third edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below).

Handbook of Biological Data. Edited by William S. Spector. [An Abridged Edition Containing Tabular Information from All Areas of Biological Science.].

Handbook of Biological Data. Edited by William S. Spector. [An Abridged Edition Containing Tabular Information from All Areas of Biological Science.]. PDF Author: American Institute of Biological Sciences (WASHINGTON, D.C.). Committee on the Handbook of Biological Data
Publisher:
ISBN:
Category :
Languages : en
Pages : 584

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Book Description


Biological Data Mining

Biological Data Mining PDF Author: Jake Y. Chen
Publisher: CRC Press
ISBN: 1420086855
Category : Computers
Languages : en
Pages : 736

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Book Description
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

Biological Knowledge Discovery Handbook

Biological Knowledge Discovery Handbook PDF Author: Mourad Elloumi
Publisher: John Wiley & Sons
ISBN: 1118617118
Category : Computers
Languages : en
Pages : 1192

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Book Description
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 the Biology of Aging

Handbook of the Biology of Aging PDF Author: Nicolas Musi
Publisher: Academic Press
ISBN: 0124116205
Category : Medical
Languages : en
Pages : 576

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Book Description
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 Computational Molecular Biology

Handbook of Computational Molecular Biology PDF Author: Srinivas Aluru
Publisher: CRC Press
ISBN: 1420036270
Category : Computers
Languages : en
Pages : 1108

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Book Description
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology PDF Author: Michael Stumpf
Publisher: John Wiley & Sons
ISBN: 1119952042
Category : Science
Languages : en
Pages : 624

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Book Description
Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.