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عنوان
Big data analysis for bioinformatics and biomedical discoveries

پدید آورنده
edited by Shui Qing Ye.

موضوع
Bioinformatics.,Data mining.,Medical sciences -- Data processing.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1498724523
(Number (ISBN
149872454X
(Number (ISBN
9781498724524
(Number (ISBN
9781498724548

NATIONAL BIBLIOGRAPHY NUMBER

Number
b575588

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Big data analysis for bioinformatics and biomedical discoveries
General Material Designation
[Book]
First Statement of Responsibility
edited by Shui Qing Ye.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton, FL
Name of Publisher, Distributor, etc.
CRC Press LLC, [
Date of Publication, Distribution, etc.
2016] ©2016

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
(xix, 273 pages) : illustrations

SERIES

Series Title
Chapman and Hall/CRC mathematical & computational biology series.

CONTENTS NOTE

Text of Note
Linux for big data analysis / Shui Qing Ye and Ding-You Li --; Pythong for big data analysis / Dmitry N. Grigoryev --; R for big data analysis / Stephen D. Simon --; 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-Liand Bi --; Methylome-seq data analysis / Chengpeng Bi --; ChIP-seq data analysis / Shui Qing Ye, Li Qin Zhang, and Jiancheng Tu --; 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 / Hongfanf Liu and Majid Rastegar-Mojarad --; Mitigating high dimensionality in big data / Deendayal Dinakarpandian.

SUMMARY OR ABSTRACT

Text of Note
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--

TOPICAL NAME USED AS SUBJECT

Bioinformatics.
Data mining.
Medical sciences -- Data processing.

PERSONAL NAME - PRIMARY RESPONSIBILITY

edited by Shui Qing Ye.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Shui Qing Ye

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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