Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Computational Biology Series)

ISBN 10: 1498724523 / ISBN 13: 9781498724524

Edité par Chapman and Hall/CRC, 2015

A propos de cet article

N° de réf. du vendeur I-9781498724524

Détails bibliographiques

• Titre: Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Computational Biology Series)
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 1498724523
• ISBN à 13 chiffres: 9781498724524
• Reliure: Couverture rigide
• État de l'article: New

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Synopsis

This book is a practical guide to the nuts and bolts of Big Data, enabling readers 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 readers' computational and quantitative skills so that they can exploit the Big Data being generated in the current omics era.

À propos de l?auteur

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.