Big Data Analysis for Bioinformatics and Biomedical Discoveries

by Shui Qing Ye (Editor)

Overview

Demystifies Biomedical and Biological Big Data AnalysesBig 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 implem

Product Details

ISBN-13:	9781040056905
Publisher:	CRC Press
Publication date:	01/13/2016
Series:	Chapman & Hall/CRC Computational Biology Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	294
File size:	2 MB

About the Author

Shui Qing Ye, MD, PhD, is the William R. Brown/Missouri Endowed Chair in Medical Genetics and Molecular Medicine and a tenured full professor in biomedical and health informatics and pediatrics at the University of Missouri-Kansas City School of Medicine. He is also the director of the Division of Experimental and Translational Genetics in the Department of Pediatrics and director of the Core of Omics Research at The Children's Mercy Hospital. Dr. Ye has been involved with biomedical research for more than 30 years. His current research interests include the application of translational bioinformatics to leverage Big Data to make biological discoveries and gain new, unifying global biological insights, which may lead to the development of new diagnostic and therapeutic targets for human diseases.

Table of Contents

Commonly Used Tools for Big Data Analysis. Next-Generation DNA Sequencing Data Analysis. Integrative and Comprehensive Big Data Analysis.