Shulph Ink
Big Data Analysis for Bioinformatics and Biomedical Discoveries
Big Data Analysis for Bioinformatics and Biomedical Discoveries
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Excellent- More about Big Data Analysis for Bioinformatics and Biomedical Discoveries
Big Data Analysis for Bioinformatics and Biomedical Discoveries is a practical guide to harnessing the power of Big Data for biological discoveries, translational medical research, and personalized genomic medicine. It covers popular tools and software, next-generation DNA sequencing data analyses, and comprehensive Big Data analyses of various areas. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, it provides a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.
Format: Paperback / softback
Length: 274 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd
Big Data Analysis for Bioinformatics and Biomedical Discoveries is a comprehensive guide that demystifies the complexities of biomedical and biological big data analyses. It provides a practical approach to harnessing the power of big data for groundbreaking biological discoveries, translational medical research, and personalized genomic medicine. Written by experts in the field, the book contributes to the NIH Big Data to Knowledge (BD2K) initiative and aims to enhance computational and quantitative skills for analyzing the vast amounts of data generated in the current omics era.
The book explores a wide range of significant topics in big data analyses, presenting them in an easily understandable format. It covers popular tools and software for big data processing, explains next-generation DNA sequencing data analyses, and discusses comprehensive big data analyses across various domains, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery.
Designed for biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book minimizes complex mathematical deductions and jargon, ensuring accessibility to a broad audience. Each chapter includes a theoretical introduction, practical examples, data analysis principles, step-by-step tutorials, and authoritative references.
By leveraging the power of big data, researchers can gain deeper insights into biological processes, identify novel biomarkers, develop more effective therapies, and improve patient outcomes. Big Data Analysis for Bioinformatics and Biomedical Discoveries serves as a valuable resource for anyone seeking to advance their understanding and expertise in this rapidly evolving field.
Weight: 544g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367783273
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