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

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.

Abstract

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

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

TOC

1 Table of Contents

1 Table of Contents 5

  • 1.1 List of Tables 7
  • 1.2 List of Figures 7

2 Introduction 8

3 Cloud Computing in Pharmaceutical Research and Development - Key Technological Concepts 10

  • 3.1 Core Technologies 10
    • 3.1.1 Virtualization 10
    • 3.1.2 Multi-tenancy 10
    • 3.1.3 Web Services 10
  • 3.2 Cloud Computing Service Models 11
    • 3.2.1 Infrastructure as a Service (IaaS) 11
    • 3.2.2 Platform as a Service (PaaS) 11
    • 3.2.3 Software as a Service (SaaS) 12
  • 3.3 Cloud Computing Deployment Models 13
  • 3.4 Stakeholders 14
    • 3.4.1 End-users/Consumers 14
    • 3.4.2 Providers 14
    • 3.4.3 Regulators 14
    • 3.4.4 Enablers 14

4 Cloud Computing in Pharmaceutical Research and Development - Competitive Landscape 15

  • 4.1 Established Players 15
    • 4.1.1 International Business Machines Corporation (IBM) 15
    • 4.1.2 Google 16
    • 4.1.3 Microsoft 17
  • 4.2 Technology Providers 18
    • 4.2.1 Apache 18
    • 4.2.2 EMC 19
  • 4.3 Innovative Companies 20
    • 4.3.1 Amazon.com 20
    • 4.3.2 Salesforce.com 21

5 Cloud Computing in Pharmaceutical Research and Development - Technology Assessment 22

  • 5.1 Benefits of Clouds 23
    • 5.1.1 Cost Savings 23
    • 5.1.2 Immediate Access to Resources 23
    • 5.1.3 Lower Barriers to Innovation 23
    • 5.1.4 Scalability of Services 23
    • 5.1.5 New Classes of Applications and Services 24
  • 5.2 Restraints to the Cloud 24
    • 5.2.1 Security 24
    • 5.2.2 Privacy and Data Location 24
    • 5.2.3 Dependency on the Internet 24
    • 5.2.4 System Availability and Level of Service 24
    • 5.2.5 Migration of Current Applications 25

6 Cloud Computing in Pharmaceutical Research and Development - Applications 26

  • 6.1 Biomedical Cloud 26
    • 6.1.1 Adequate Security Measures 27
    • 6.1.2 Communication with Private Clouds 27
    • 6.1.3 On-demand Scalability 28
    • 6.1.4 Data Transfer 28
    • 6.1.5 Interaction with Other Clouds 28
  • 6.2 Next-Generation Sequencing 28
    • 6.2.1 Case Study - Adoption of Cloud Computing by Merck (the US) 29
  • 6.3 Bioinformatics and Genomics 30
  • 6.4 In Silico Research through Cloud Computing 32
    • 6.4.1 The Data Layer 32
    • 6.4.2 The System Layer 33
    • 6.4.3 The Service Layer 34
  • 6.5 Information Dissemination 36
  • 6.6 Cloud Computing for Management of Clinical Trials 36

7 Cloud Computing in Pharmaceutical Research and Development - Appendix 37

  • 7.1 Market Definitions 37
  • 7.2 Abbreviations 37
  • 7.3 Bibliography 37
  • 7.4 Research Methodology 38
    • 7.4.1 Coverage 38
    • 7.4.2 Secondary Research 38
    • 7.4.3 Primary Research 39
  • 7.5 Expert Panel Validation 39
  • 7.6 Contact Us 39
  • 7.7 Disclaimer 39

List of Tables

1.1 List of Tables

  • Table 1: Cloud Computing in the Pharmaceutical Industry, Cloud Computing Service Models 11
  • Table 2: Cloud Computing in the Pharmaceutical Industry, Classification of Cloud Computing Services 12
  • Table 3: Cloud Computing in the Pharmaceutical Industry, Applications, Cloud Resources in Bioinformatics 31
  • Table 4: Cloud Computing in the Pharmaceutical Industry, Applications, Features of Scientific Research in a Cloud 35

List of Figures

1.2 List of Figures

  • Figure 1: Cloud Computing in the Pharmaceutical Industry, Basic Cloud Computing Infrastructure 8
  • Figure 2: Cloud Computing in the Pharmaceutical Industry, Private and Public Clouds 13
  • Figure 3: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Established Players, IBM 15
  • Figure 4: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Established Players, Google 16
  • Figure 5: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Established Players, Microsoft 17
  • Figure 6: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Technology Providers, Apache 18
  • Figure 7: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Technology Providers, EMC 19
  • Figure 8: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Innovative Companies, Amazon 20
  • Figure 9: Cloud Computing in the Pharmaceutical Industry, Competitive Landscape, Innovative Companies, Salesforce.com 21
  • Figure 10: Cloud Computing in the Pharmaceutical Industry, Technology Assessment, Benefits and Restraints 22
  • Figure 11: Cloud Computing in the Pharmaceutical Industry, Applications, Biomedical Cloud 27
  • Figure 12: Cloud Computing in the Pharmaceutical Industry, Applications, Map-Shuffle-Reduce Framework 30
  • Figure 13: Cloud Computing in the Pharmaceutical Industry, Applications, In Silico Research, the Data Layer 32
  • Figure 14: Cloud Computing in the Pharmaceutical Industry , Applications, In Silico Research, the System Layer 33
  • Figure 15: Cloud Computing in the Pharmaceutical Industry, Applications, In Silico Research, the Service Layer 34
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