Big Data Analysis for Bioinformatics and Biomedical Discoveries (Hardcover)

Shui Qing Ye (Editor)

商品描述

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.

商品描述(中文翻譯)

《生物醫學與生物大數據分析揭秘》

《生物信息學與生物醫學發現的大數據分析》提供了一個實用指南,幫助您快速有效地利用大數據的力量,進行突破性的生物學發現,進行轉化醫學研究,並實施個性化基因組醫學。該書為美國國家衛生研究院(NIH)的大數據知識(BD2K)計劃做出了貢獻,提升了您的計算和數量技能,使您能夠利用當前基因組學時代產生的大數據。

該書以易於理解的形式探討了許多重要的大數據分析主題。它描述了大數據分析的常用工具和軟件,並解釋了下一代DNA测序數據分析。它還討論了幾個主要領域的全面大數據分析,包括組學數據的整合、藥物基因組學、電子健康記錄數據和藥物發現。

本書適用於生物學家、生物醫學科學家、生物信息學家和計算機數據分析師,並將複雜的數學推導和術語降到最低限度。每章包括理論介紹、實例應用、數據分析原則、逐步教程和權威參考資料。