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Life Science Informatics: Strategies and Business Models
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Description: |
Strategies and Business Models
Life science informatics promises to harness the flood of data from the Human Genome Project and related research. But living organisms are complex, and designing drugs exclusively in silico is not ready for prime time. Based on months of research, this report sheds new light on the life science informatics industry: what's real, what's not, and how today's science-driven ventures can become tomorrow's profit makers.
'How You Benefit' from purchasing this report.
This report is the result of primary research consisting of more than two dozen in-depth interviews and briefings with users and vendors. The primary author has over 25 years of experience as a consultant and industry analyst.
You also get:
One hour of consultation by telephone or e-mail (for explanation, elaboration, and (at our discretion) additional research.
Unique "match-making" service: we will help you find and contact potential partners, strategic customers, and subject experts
An independent and objective view of the life science informatics industry.
Insights gained through numerous vendor interviews and briefings and ongoing research. |
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Contents: |
Executive Summary The current market Opportunities & illusions Business models & strategies Conclusions & recommendations Mapping the Genome and Searching for Profits Life Science Informatics Applications Research Health care Pharmaceuticals Agriculture Veterinary Food processing Forensics Manufacturing IT applications Information technology (IT) infrastructure Data access Data storage Computing architectures The Market Pharmaceutical and biotech firms Government and university research labs Healthcare providers Information Technology Opportunities & Requirements Regulatory Issues Business models Focus: Hardware Computing hardware sales Storage hardware sales Networking hardware sales Instrumentation hardware sales Focus: Life Science Informatics Services Application Service Provider (ASP) Outsourced Drug Discovery Processes Consulting Focus: Software Discipline-based tools Task-based tools Software: off-the-shelf Software: customized for flat fee Software licensing: free with charges for upgrades, support, and extras Software licensing: modest upfront fee plus royalties Software licenses: upfront fee plus annual maintenance and consulting Focus: Systems & Other Integration model Eclectic model Strategic collaboration/acquisition model Drug discovery model Healthcare applications model
Vendor Profiles
3rd MILLENIUM INC. ACCELRYS ACLARA AFFYMETRIX AGILENT TECHNOLOGIES ALGONOMICS ALKAMI BIOSYSTEMS ANVIL ARQULE APPLIED BIOSYSTEMS GROUP BIODISCOVERY BIOINFORMATICS SOLUTIONS BIOSENTIENTS BIOTOOLS INC. BLACKSTONE COMPUTING CALLIDA GENOMICS CB TECHNOLOGIES CELERA GENOMICS CEREP COMPUGEN CURAGEN DECODE GENETICS DECODON DELTAGEN, INC. DISCOVERY PARTNERS INTERNATIONAL ENTELOS INC. GENEDATA GENEFORMATICS, INC. GENEPROT GENE LOGIC GENODYSSEE GENOME THERAPEUTICS CORP. GENOMICS COLLABORATIVE GENOMIC SOLUTIONS GEOSPIZA HEWLETT-PACKARD IBM LIFE SCIENCES IMAGING RESEARCH INCYTE GENOMICS, INC. INFORMAX KSHEMA TECHNOLOGIES LABSTREAM LARGE SCALE BIOLOGY CORP. LINUX NETWORX LION BIOSCIENCE MOLECULAR MINING MOTOROLA LIFE SCIENCES NANOGEN NEXUS GENOMICS PANVERA LLC PARACEL PARTEK PERLEGEN SCIENCES PHARSIGHT PHASE FORWARD PHT CORPORATION PHYSIOME SCIENCES PLATFORM COMPUTING ROSETTA INPHARMICS SILCON GENETICS SPOTFIRE STRAND GENOMICS PVT. LTD. STRUCTURAL BIOINFORMATICS INC. STRUCTURAL GENOMICS THIRD WAVE TECHNOLOGIES TIMELOGIC TISSUEINFORMATICS TRIPOS TURBOWORX UNITED DEVICES VISUALIZE INC.
Tables
Table 1 Factors Driving/Inhibiting Life Science Informatics Business Table 2 Major life science informatics activities Table 3 Major supercomputer manufacturers Table 4 Twenty largest supercomputing sites Table 5 Comparison of supercomputers, server clusters, and grid computing Table 6 Major manufacturers of server clusters Table 7 Comparison of high speed network interfaces Table 8 The largest pharmaceutical and biotech firms Table 9 Buyer profiles for four major life science informatics market segments Table 10 Growth in GenBank database, 1982 - 2002 Table 11 Advantages & disadvantages (for customers) of using application service providers (ASPs) Table 12 Business model evolution for select life science informatics vendors
Figures
Figure 1 Major high performance computing architectures (supercomputer, server cluster, and grid) Figure 2 Percentage of top 500 high performance computing sites dedicated to life sciences Figure 3 Blade server architecture saves space and reduces power consumption Figure 4 Growth in European Molecular Biology Laboratory (EMBL) database, 1982 - 2003 Figure 5 New drug applications, 1995 ? 2003 (first part of 2003) Figure 6 Drug development & approval process Figure 7 Breakdown of drug development costs, US$ millions
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