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Information Technology in the Life Sciences: An Examination of Genomics Researchers

Published by: BioInformatics, LLC

Published: Feb. 1, 2005 - 141 Pages


Table of Contents


Section 1. Analysis and Interpretation of Survey Results
Introduction
Market Profile: Research Applications
1-4 Current Users and Projected Growth Trends
1-5 Profile of the Market
Instrumentation
1-7 Current Instrument Use
1-8 Leading Suppliers
1-9 Embedded Software
Software
1-12 Analysis and Integration
1-14 Decision to Switch to Commercial Software
1-15 Commercial Software
1-16 Integrated Sources of Data
Operating System and Hardware
1-18 Leading Suppliers: Hardware
1-19 Leading Suppliers: Operating System
1-20 Hardware Devices
Genomic Data Distribution
1-22 Important Distribution/Transmission Capabilities
Future Developments
1-24 Future IT Capabilities
1-25 High Performance Computing (HPC)
1-27 Collaborative Software
1-29 Storage Area Networks (SAN)
1-31 Conclusions
Section 2. Study Methodology and Demographics
2-1 Methodology
2-3 Definition of Terms
2-4 Demographics
2-5 Questionnaire
Section 3. Presentation of Survey Data
Research Applications
3-1 Involvement with genomics research
3-2 Techniques employed in research
3-3 Percentage of research time devoted to performing genomics research
3-4 Percentage of lab/group’s genomics research currently conducted in silico
Instrumentation
3-5 Types of instrumentation used to generate genomics data
Primary suppliers of the following instruments used to generate genomics data:
3-6 DNA Microarray Instruments
3-7 Fragment Analysis/Genotyping Systems
3-8 Real-time PCR Instruments
Analysis of genomics data using software manufactured by primary suppliers and embedded on the following instruments:
3-11 DNA Microarray Instruments
3-12 Fragment Analysis/Genotyping Systems
3-13 Real-time PCR Instruments
Satisfaction with specific features of the embedded genomics analysis software on the following instruments:
3-14 DNA Microarray Instruments
3-15 Fragment Analysis/Genotyping Systems
3-16 Real-time PCR Instruments
Software
3-17 Sources of software used to analyze/integrate data and those used most often
3-18 Satisfaction with specific features of the in-house software used to analyze/integrate data
3-19 Satisfaction with specific features of the freeware/shareware used to analyze/integrate data
3-20 Features most influential in the decision to switch to commercial third party software for data analysis/integration
3-21 Primary suppliers of the commercial third party software used to analyze/integrate data
3-22 Satisfaction with specific features of the commercial third party software used to analyze/integrate data
3-23 Sources of data that are integrated with IT systems for the purpose of analysis and those that are most likely to be added in the future
Operating System and Hardware
3-24 Suppliers of the desktop computer/workstation hardware used to study data and those used most often
3-26 Hardware devices personally used in genomics research in the last 12 months
3-27 Computer operating systems used by labs/groups to study data and those used most often
Genomic Data Distribution
3-28 Most important capabilities with regards to the distribution/transmission of genomics data
Future Developments
3-29 Usefulness of high performance (distributed/grid/clusters) computing within the next 12 to 24 months
3-30 Use of high performance computing
3-32 Suppliers perceived to be the best qualified to implement high performance computing
Collaborative Software
3-34 Usefulness of collaborative software within the next 12 to 24 months
3-35 Use of collaborative software
3-37 Suppliers perceived to be the best qualified to provide collaborative software
Storage Area Networks
3-39 Usefulness of a storage area network within the next 12 to 24 months
3-40 Use of storage area networks
3-42 Suppliers perceived to be the best qualified to provide a storage area network
Section 4. Appendices
4-1 Insights and Perspectives
4-14 Cross-Tabulations of Survey Data
4-32 Other Recent Publications
4-34 About BioInformatics
4-35 Our Valued Clients

Abstract

This report will help instrumentation suppliers and IT vendors understand how academic and industrial scientists use IT tools from start to finish in their genomics experiments

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