HIGH PERFORMANCE IN MEMORY GENOME DATA ANALYSIS HOW IN MEMORY DATABASE TECHNOLOGY ACCELERATES PERSONALIZED MEDICINE (HB 2014). Cet article n’est pas disponible.
Langue : anglais
Edité par SPRINGER, 2014
- Livre relié
- Neuf

Vendeur : UK BOOKS STORE, London, London, Royaume-UniUK BOOKS STORE
Vendeur AbeBooks depuis 11 mars 2024
Etat: Neuf
EUR 279,98
A propos de cet article
Brand New ! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
N° de réf. du vendeur Cvs 9783319030340
- Titre
- HIGH PERFORMANCE IN MEMORY GENOME DATA ANALYSIS HOW IN MEMORY DATABASE TECHNOLOGY ACCELERATES PERSONALIZED MEDICINE (HB 2014)
- Auteur
- PLATTNER
- Éditeur
- SPRINGER
- Année de publication
- 2014
- État de l'article
- New
- Reliure
- Couverture rigide
- Langue
- anglais
- ISBN à 10 chiffres
- 3319030345
- ISBN à 13 chiffres
- 9783319030340
- Édition
- Edition internationale
Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.