Big data analysis for bioinformatics and biomedical discoveries (Record no. 205134)

000 -LEADER
fixed length control field 04208cam a2200265 i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160516t2016flua b 001 0 eng c
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498724524
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Item number B4
245 00 - TITLE STATEMENT
Title Big data analysis for bioinformatics and biomedical discoveries
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Abingdon
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2016
300 ## - PHYSICAL DESCRIPTION
Extent xix, 273 p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman and Hall/CRC mathematical and computational biology series
9 (RLIN) 134081
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents


1. Commonly Used Tools for Big Data Analysis
2. Linux for Big Data Analysis
3. Shui Qing Ye and Ding-You Li
4. Python for Big Data Analysis
5. Dmitry N. Grigoryev
6. R for Big Data Analysis
7. Stephen D. Simon
8. Next-Generation DNA Sequencing Data Analysis
9. Genome-Seq Data Analysis
10. Min Xiong, Li Qin Zhang, and Shui Qing Ye
11. RNA-Seq Data Analysis
12. Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing Ye
13. Microbiome-Seq Data Analysis
14. Daniel P. Heruth, Min Xiong, and Xun Jiang
15. miRNA-Seq Data Analysis
16. Daniel P. Heruth, Min Xiong, and Guang-Liang Bi
17. Methylome-Seq Data Analysis
18. Chengpeng Bi
19. ChIP-Seq Data Analysis
20. Shui Qing Ye, Li Qin Zhang, and Jiancheng Tu
21. Integrative and Comprehensive Big Data Analysis
22. Integrating Omics Data in Big Data Analysis
23. Li Qin Zhang, Daniel P. Heruth, and Shui Qing Ye
24. Pharmacogenetics and Genomics
25. Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. Cavallari
26. Exploring De-Identified Electronic Health Record Data with i2b2
27. Mark Hoffman
28. Big Data and Drug Discovery
29. Gerald J. Wyckoff and D. Andrew Skaff
30. Literature-Based Knowledge Discovery
31. Hongfang Liu and Majid Rastegar-Mojarad
32. Mitigating High Dimensionality in Big Data Analysis
33. Deendayal Dinakarpandian

520 ## - SUMMARY, ETC.
Summary, etc Features

Covers the most important topics of Big Data analysis in biomedicine and biology
Introduces computing tools for Big Data analysis, such as Linux-based command lines, Python, and R
Presents data analysis pipelines for next-generation DNA sequencing applications, including Genome-seq, RNA-seq, Microbiome-seq, Methylome-seq, miRNA-seq, and ChIP-seq
Shows how to integrate high-dimensional omics data, pharmacogenomics data, electronic medical records, in silico drug findings, and literature-based knowledge for precision medicine

Summary

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.


https://www.crcpress.com/Big-Data-Analysis-for-Bioinformatics-and-Biomedical-Discoveries/Ye/p/book/9781498724524
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics
9 (RLIN) 50686
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical sciences
9 (RLIN) 130340
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data processing
9 (RLIN) 41100
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Sequence alignment - Bioinformatics
9 (RLIN) 338752
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Nucleotide sequence
9 (RLIN) 338753
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 56428
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
9 (RLIN) 338754
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medical sciences
9 (RLIN) 130340
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ye, Shui Qing
Relator term Editor
9 (RLIN) 338757
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   2016-12-26 6 5831.84 Slot 1701 (2 Floor, East Wing) 570.285 B4 193442 2016-12-26 7289.80 Books

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