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Big Data Analysis for Bioinformatics and Biomedical Discoveries by Shui Qing Ye

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Last updated on 31 Jan, 2024 12:01:03 GMTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Big Data Analysis for Bioinformatics and Biomedical Discoveries
Publication Date
2015-12-22
ISBN
9781498724524
Publication Name
Big Data Analysis for Bioinformatics and Biomedical Discoveries
Item Length
9.5in
Publisher
CRC Press LLC
Publication Year
2015
Series
Chapman and Hall/Crc Computational Biology Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.8in
Author
Shui Qing Ye
Item Width
6.6in
Item Weight
20 Oz
Number of Pages
274 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1498724523
ISBN-13
9781498724524
eBay Product ID (ePID)
215362610

Product Key Features

Author
Shui Qing Ye
Publication Name
Big Data Analysis for Bioinformatics and Biomedical Discoveries
Format
Hardcover
Language
English
Publication Year
2015
Series
Chapman and Hall/Crc Computational Biology Ser.
Type
Textbook
Number of Pages
274 Pages

Dimensions

Item Length
9.5in
Item Height
0.8in
Item Width
6.6in
Item Weight
20 Oz

Additional Product Features

Lc Classification Number
Qa76.9.D343
Table of Content
Commonly Used Tools for Big Data Analysis Linux for Big Data Analysis Shui Qing Ye and Ding-You Li Python for Big Data Analysis Dmitry N. Grigoryev R for Big Data Analysis Stephen D. Simon Next-Generation DNA Sequencing Data Analysis Genome-Seq Data Analysis Min Xiong, Li Qin Zhang, and Shui Qing Ye RNA-Seq Data Analysis Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing Ye Microbiome-Seq Data Analysis Daniel P. Heruth, Min Xiong, and Xun Jiang miRNA-Seq Data Analysis Daniel P. Heruth, Min Xiong, and Guang-Liang Bi Methylome-Seq Data Analysis Chengpeng Bi ChIP-Seq Data Analysis Shui Qing Ye, Li Qin Zhang, and Jiancheng Tu Integrative and Comprehensive Big Data Analysis Integrating Omics Data in Big Data Analysis Li Qin Zhang, Daniel P. Heruth, and Shui Qing Ye Pharmacogenetics and Genomics Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. Cavallari Exploring De-Identified Electronic Health Record Data with i2b2 Mark Hoffman Big Data and Drug Discovery Gerald J. Wyckoff and D. Andrew Skaff Literature-Based Knowledge Discovery Hongfang Liu and Majid Rastegar-Mojarad Mitigating High Dimensionality in Big Data Analysis Deendayal Dinakarpandian
Copyright Date
2015
Topic
Programming / Games, Probability & Statistics / General, Databases / Data Mining, Life Sciences / Biology
Lccn
2016-304813
Dewey Decimal
610.28557
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Science, Mathematics

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