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医薬品の研究開発におけるクラウドコンピューティング:クラウドが最適化する次世代DNAシーケンシングおよび治験データ管理を通したデータの仮想化

Cloud Computing in Pharmaceutical Research and Development - Virtualization of Data through the Cloud Optimizes Next-Generation DNA Sequencing and Clinical Trials Data Management

発行 GBI Research 商品コード 249118
出版日 ページ情報 英文 39 Pages
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医薬品の研究開発におけるクラウドコンピューティング:クラウドが最適化する次世代DNAシーケンシングおよび治験データ管理を通したデータの仮想化 Cloud Computing in Pharmaceutical Research and Development - Virtualization of Data through the Cloud Optimizes Next-Generation DNA Sequencing and Clinical Trials Data Management
出版日: 2012年08月22日 ページ情報: 英文 39 Pages
概要

当レポートでは、製薬産業内の研究、開発および販売効果におけるクラウドコンピューティングの主要アプリケーションについて調査しており、クラウドコンピューティングの技術コンセプト、クラウドコンピューティング分野における主要企業の情報、製薬産業におけるクラウドコンピューティングのアプリケーションなどについてまとめ、概略以下の構成でお届けします。

第1章 目次

第2章 イントロダクション

第3章 主な技術コンセプト

  • 中核技術
    • 仮想化
    • マルチテナンシー
    • ウェブサービス
  • クラウドコンピューティングサービスモデル
    • IaaS
    • PaaS
    • SaaS
  • クラウドコンピューティング導入モデル
  • ステークホルダー
    • エンドユーザー/消費者
    • プロバイダー
    • 規制当局
    • イネーブラー

第4章 競合情勢

  • 有力企業
    • IBM
    • Google
    • Microsoft
  • 技術プロバイダー
    • Apache
    • EMC
  • 革新的企業
    • Amazon.com
    • Salesforce.com

第5章 技術評価

  • クラウドのメリット
    • コスト節約
    • リソースへの即時アクセス
    • 革新に対する障害の低さ
    • サービスの拡張性
    • アプリケーションおよびサービスの新しいクラス
  • クラウドの阻害因子
    • セキュリティ
    • プライバシーおよびデータロケーション
    • インターネットへの依存
    • システムアベイラビリティおよびサービス水準
    • 現在のアプリケーションの乗り換え

第6章 アプリケーション

  • バイオメディカルクラウド
    • 適切なセキュリティ手法
    • プライベートクラウドとの通信
    • オンデマンドの拡張性
    • データ転送
    • その他のクラウドとの相互作用
  • 次世代シーケンシング
    • ケーススタディ:Merck(米国)によるクラウドコンピューティングの導入
  • バイオインフォマティクスおよびゲノミクス
  • クラウドコンピューティングを通したコンピュータ内での研究
    • データレイヤー
    • システムレイヤー
    • サービスレイヤー
  • 情報の流布
  • 治験管理用クラウドコンピューティング

第7章 付録

図表

目次

Summary

GBI Research, leading business intelligence provider has released its latest report, "Cloud Computing in Pharmaceutical Research and Development - Virtualization of Data through the Cloud Optimizes Next-Generation DNA Sequencing and Clinical Trials Data Management", which provides insights into the key applications of cloud computing in the research, development and sales effectiveness within the pharmaceutical industry. The report provides an understanding of technological concepts in cloud computing, including cloud computing service models, deployment models and key stakeholders. Information on the major players in the cloud computing space is followed by an overall assessment of the technology in terms of benefits and restraints. Applications of cloud computing in the pharmaceutical industry are explained in the next section, with a focus on next-generation sequencing, bioinformatics, transfer of information across the sales force and clinical trials data management.

This report is built using data and information sourced from proprietary databases, primary and secondary research, and in-house analysis by GBI Research's team of industry experts.

GBI Research analyses reveals that cloud computing has managed to change the invention, development, deployment updating and maintenance of information technology (IT) services. While the per-unit cost of computing has decreased due to the exponential increase in the power of modern machines, the cost of managing IT infrastructure has increased over the same time period. This is mainly due to the penetration of systems within the organization which has significantly increased the complexity of the entire infrastructure. Cloud computing promises to deliver existing as well as new functionalities of IT, coupled with a significant reduction in costs for deploying these functionalities.

Scope

  • A brief technical understanding of cloud computing services
  • Review of cloud computing service models, deployment models and role of major stakeholders
  • Dedicated section on applications of cloud computing across the pharmaceutical industry value chain
  • An understanding the benefits and restraints of cloud computing
  • The report also covers information on the leading market players and the competitive landscape, including established companies, technology providers and innovative companies in the cloud computing space

Reasons to buy

  • Develop business strategies by understanding the trends shaping and driving the use of cloud computing in healthcare
  • Understand the potential areas of application across the value chain.
  • Identify key services and applications which can be hosted on the cloud
  • Identify the key players in the cloud computing space

Executive Summary

DNA Sequencing in the Pharma Industry Demands Cloud Computing for Next Level Data Management

The exponential growth in the power of computing has affected the amount of scientific data produced, managed and analyzed over the last decade, turning biology into a data-intensive science, states a new report by healthcare experts GBI Research.

The new report* states that the advent of genomics will change our understanding of biology and human diseases, but cloud computing must step up, to store and share this enormous amount of data.

Research in the pharmaceutical industry has moved towards next-generation sequencing, and research centers all over the globe are generating thousands of gigabytes of DNA sequences. Over 10,000 human genomes were completely sequenced by the end of 2011, but it is estimated that over a million could be sequenced by 2015. In addition to genome sequencing, understanding of the whole genome expression data also reveals information on the normal and diseased states of the human body. Although large amounts of genomic data, coupled with other clinical and biological texts, are easily available for downloading, there is currently a lack of a conceptual framework to integrate all the data. This is where cloud computing can help.

A biomedical cloud with large amounts of publicly available data on biology, medicine, technology and healthcare, could be accessed by individuals on personal devices and by companies through large data centers, through a secure platform. The cloud could also enable the use of software programs, such as CrossBow, which is capable of analyzing the entire human genome in a single day.

Global pharmaceutical company Merck has used cloud computing since 2003 - one of the earliest uses of cloud computing platforms by a life sciences company. Intensive drug research generated massive amounts of data related to genotype and gene expression, and Merck built one of the largest computer networks in the pharmaceutical industry to deal with this. With the eventual advent of next-generation sequencing, Merck examined the option of the cloud service which had been just launched by Amazon.

In early 2009, when Merck shut down its genomics operations, the data generated was inherited by Sage Bionetworks, a not-for-profit, open-access medical research organization. Sage is now exploring other cloud computing services, as the rate of growth of sequencing data is exponential. This transfer of scientific knowledge from Pharma giant to charitable research body represents an exciting movement in the medical field, and the concept of a biomedical cloud with shared genomic data would work to further this communal element of medical discovery.

Cloud Computing in Pharmaceutical Research and Development - Virtualization of Data through the Cloud Optimizes Next-Generation DNA Sequencing and Clinical Trials Data Management

This report provides insights into the key applications of cloud computing in the research, development and sales effectiveness within the pharmaceutical industry. It provides an understanding of technological concepts in cloud computing, including cloud computing service models, deployment models and key stakeholders. Information on the major players in the cloud computing space is followed by an overall assessment of the technology in terms of benefits and restraints. Applications of cloud computing in the pharmaceutical industry are explained in the next section, with a focus on next-generation sequencing, bioinformatics, transfer of information across the sales force and clinical trials data management.

The report is built using data and information sourced from proprietary databases, primary and secondary research and in-house analysis by GBI Research's team of industry experts.

Table of Contents

1. Table of Contents

  • 1.1. List of Tables
  • 1.2. List of Figures

2. Introduction

3. Cloud Computing in Pharmaceutical Research and Development - Key Technological Concepts

  • 3.1. Core Technologies
    • 3.1.1. Virtualization
    • 3.1.2. Multi-tenancy
    • 3.1.3. Web Services
  • 3.2. Cloud Computing Service Models
    • 3.2.1. Infrastructure as a Service (IaaS)
    • 3.2.2. Platform as a Service (PaaS)
    • 3.2.3. Software as a Service (SaaS)
  • 3.3. Cloud Computing Deployment Models
  • 3.4. Stakeholders
    • 3.4.1. End-users/Consumers
    • 3.4.2. Providers
    • 3.4.3. Regulators
    • 3.4.4. Enablers

4. Cloud Computing in Pharmaceutical Research and Development - Competitive Landscape

  • 4.1. Established Players
    • 4.1.1. International Business Machines Corporation (IBM)
    • 4.1.2. Google
    • 4.1.3. Microsoft
  • 4.2. Technology Providers
    • 4.2.1. Apache
    • 4.2.2. EMC
  • 4.3. Innovative Companies
    • 4.3.1. Amazon.com
    • 4.3.2. Salesforce.com

5. Cloud Computing in Pharmaceutical Research and Development - Technology Assessment

  • 5.1. Benefits of Clouds
    • 5.1.1. Cost Savings
    • 5.1.2. Immediate Access to Resources
    • 5.1.3. Lower Barriers to Innovation
    • 5.1.4. Scalability of Services
    • 5.1.5. New Classes of Applications and Services
  • 5.2. Restraints to the Cloud
    • 5.2.1. Security
    • 5.2.2. Privacy and Data Location
    • 5.2.3. Dependency on the Internet
    • 5.2.4. System Availability and Level of Service
    • 5.2.5. Migration of Current Applications

6. Cloud Computing in Pharmaceutical Research and Development - Applications

  • 6.1. Biomedical Cloud
    • 6.1.1. Adequate Security Measures
    • 6.1.2. Communication with Private Clouds
    • 6.1.3. On-demand Scalability
    • 6.1.4. Data Transfer
    • 6.1.5. Interaction with Other Clouds
  • 6.2. Next-Generation Sequencing
    • 6.2.1. Case Study - Adoption of Cloud Computing by Merck (the US)
  • 6.3. Bioinformatics and Genomics
  • 6.4. In Silico Research through Cloud Computing
    • 6.4.1. The Data Layer
    • 6.4.2. The System Layer
    • 6.4.3. The Service Layer
  • 6.5. Information Dissemination
  • 6.6. Cloud Computing for Management of Clinical Trials

7. Cloud Computing in Pharmaceutical Research and Development - Appendix

  • 7.1. Market Definitions
  • 7.2. Abbreviations
  • 7.3. Bibliography
  • 7.4. Research Methodology
    • 7.4.1. Coverage
    • 7.4.2. Secondary Research
    • 7.4.3. Primary Research
  • 7.5. Expert Panel Validation
  • 7.6. Contact Us
  • 7.7. Disclaimer

List of Tables

  • Table 1: Cloud Computing in the Pharmaceutical Industry, Cloud Computing Service Models
  • Table 2: Cloud Computing in the Pharmaceutical Industry, Classification of Cloud Computing Services
  • Table 3: Cloud Computing in the Pharmaceutical Industry, Applications, Cloud Resources in Bioinformatics
  • Table 4: Cloud Computing in the Pharmaceutical Industry, Applications, Features of Scientific Research in a Cloud

List of Figures

  • Figure 1: Cloud Computing in the Pharmaceutical Industry, Basic Cloud Computing Infrastructure
  • Figure 2: Cloud Computing in the Pharmaceutical Industry, Private and Public Clouds
  • Figure 3: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Established Players, IBM
  • Figure 4: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Established Players, Google
  • Figure 5: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Established Players, Microsoft
  • Figure 6: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Technology Providers, Apache
  • Figure 7: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Technology Providers, EMC
  • Figure 8: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Innovative Companies, Amazon
  • Figure 9: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Innovative Companies, Salesforce.com
  • Figure 10: Cloud Computing in the Pharmaceutical Industry, Technology Assessment, Benefits and Restraints
  • Figure 11: Cloud Computing in the Pharmaceutical Industry, Applications, Biomedical Cloud
  • Figure 12: Cloud Computing in the Pharmaceutical Industry, Applications, Map-Shuffle-Reduce Framework
  • Figure 13: Cloud Computing in the Pharmaceutical Industry, Applications, In Silico Research, the Data Layer
  • Figure 14: Cloud Computing in the Pharmaceutical Industry , Applications, In Silico Research, the System Layer
  • Figure 15: Cloud Computing in the Pharmaceutical Industry, Applications, In Silico Research, the Service Layer
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