Big Data Analysis for Bioinformatics and Biomedical Discoveries

Big Data offers both unprecedented opportunities and overwhelming challenges. This book is intended to provide biologists, biomedical scientists, bioinformaticians and computer data analysts a pragmatic overview of the field as it applies to bioinformatics and biomedical science, allowing enthusiastic readers to more quickly, easily and effectively harness the power of Big Data in their ground-breaking biological discoveries, translational medical researches and personalized genomic medicine. It covers common tools and software, next generation sequencing data analysis and Big Data analysis pipelines.

Shui Qing Ye, M.D., Ph.D., is the William R. Brown/Missouri Endowed Chair in Medical Genetics and Molecular Medicine and a tenured full professor in Biomedical & Health Informatics and Pediatrics at the University of Missouri in Kansas City, Kansas, USA. He is also Director of the Division of Experimental and Translational Genetics, Department of Pediatrics and Director in the Core of Omic Research at The Children’s Mercy Hospital.