ITeBooks.directory Facebook Icon Image ITeBooks.directory Google Plus Icon Image ITeBooks.directory Twitter Icon Image

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Big Data Analysis for Bioinformatics and Biomedical Discoveries Image

Book details:

Publisher:Chapman and Hall/CRC
Category: CRC Press
Author:
Edition:1
ISBN-10:1498724523
ISBN-13:9781498724524
Pages:294
Published:
Posted:May 03 2017
Language:English
Book format:PDF
Book size:6.08 MB

Book Description:

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.

Download Link:

Related Books:

Big Data Big Analytics Image

Big Data Big Analytics

May 21 2017 Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, lowcost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and costeffectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency,...

Big Data in Practice Image

Big Data in Practice

Jun 13 2017 The bestselling author of Big Data is back, this time with a unique and indepth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an upclose, ontheground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes bein...

Big Data, Open Data and Data Development Image

Big Data, Open Data and Data Development

Apr 27 2017 The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge is becoming apparent in order to understand this multitude of data. We must educate, inform and train the masses. The development of related technologies, such as the advent of the Internet, social networks, "cloud-computing" (digit...

Statistical Methods for Microarray Data Analysis Image

Statistical Methods for Microarray Data Analysis

May 15 2017 Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Metho...

ITeBooks.directory