Big Data Analysis For Bioinformatics And Biomedical Discoveries - Ye Shui Qing (Curatore) | Libro Chapman And Hall/Crc 12/2015 - HOEPLI.it


home libri books ebook dvd e film top ten sconti 0 Carrello


Torna Indietro

ye shui qing (curatore) - big data analysis for bioinformatics and biomedical discoveries

Big Data Analysis for Bioinformatics and Biomedical Discoveries




Disponibilità: Normalmente disponibile in 10 giorni
A causa di problematiche nell'approvvigionamento legate alla Brexit sono possibili ritardi nelle consegne.


PREZZO
124,98 €
NICEPRICE
118,73 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 12/2015
Edizione: 1° edizione





Note Editore

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. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.




Sommario

Commonly Used Tools for Big Data AnalysisLinux for Big Data Analysis Shui Qing Ye and Ding-You LiPython for Big Data Analysis Dmitry N. GrigoryevR for Big Data Analysis Stephen D. Simon Next-Generation DNA Sequencing Data AnalysisGenome-Seq Data Analysis Min Xiong, Li Qin Zhang, and Shui Qing YeRNA-Seq Data Analysis Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing YeMicrobiome-Seq Data Analysis Daniel P. Heruth, Min Xiong, and Xun JiangmiRNA-Seq Data Analysis Daniel P. Heruth, Min Xiong, and Guang-Liang BiMethylome-Seq Data Analysis Chengpeng BiChIP-Seq Data Analysis Shui Qing Ye, Li Qin Zhang, and Jiancheng Tu Integrative and Comprehensive Big Data AnalysisIntegrating Omics Data in Big Data Analysis Li Qin Zhang, Daniel P. Heruth, and Shui Qing YePharmacogenetics and Genomics Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. CavallariExploring De-Identified Electronic Health Record Data with i2b2 Mark HoffmanBig Data and Drug Discovery Gerald J. Wyckoff and D. Andrew SkaffLiterature-Based Knowledge Discovery Hongfang Liu and Majid Rastegar-MojaradMitigating High Dimensionality in Big Data Analysis Deendayal Dinakarpandian




Autore

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.







Altre Informazioni

ISBN:

9781498724524

Condizione: Nuovo
Collana: Chapman & Hall/CRC Mathematical and Computational Biology
Dimensioni: 9.25 x 6.125 in Ø 1.25 lb
Formato: Copertina rigida
Illustration Notes:23 b/w images, 17 tables and no lines/8 total equations
Pagine Arabe: 274
Pagine Romane: xx






Utilizziamo i cookie di profilazione, anche di terze parti, per migliorare la navigazione, per fornire servizi e proporti pubblicità in linea con le tue preferenze. Se vuoi saperne di più o negare il consenso a tutti o ad alcuni cookie clicca qui. Chiudendo questo banner o proseguendo nella navigazione acconsenti all’uso dei cookie.

X