Big Data Analysis for Bioinformatics and Biomedical Discoveries
1st Edition
Published on 13. January 2016
294 pages
978-1-040-05690-5 (ISBN)
Description
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
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
ISBN-13
978-1-040-05690-5 (9781040056905)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
03/2021
1st Edition
Chapman & Hall/CRC
€72.70
Shipment within 15-20 days
Book
12/2015
1st Edition
Chapman & Hall/CRC
€176.30
Shipment within 15-20 days
Person
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.
Content
Commonly Used Tools for Big Data Analysis. Next-Generation DNA Sequencing Data Analysis. Integrative and Comprehensive Big Data Analysis.
