1st Edition

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Edited By Shui Qing Ye Copyright 2016
294 Pages
by Chapman & Hall

294 Pages 23 B/W Illustrations
by Chapman & Hall

294 Pages
by Chapman & Hall

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.... Read more

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

Biography

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.